From 28e77680c560017b4f250aec834e783e0afdb79c Mon Sep 17 00:00:00 2001 From: "Matthijs S. Berends" Date: Thu, 8 Oct 2020 11:16:03 +0200 Subject: [PATCH] (v1.4.0) matching score update --- .github/workflows/check.yaml | 10 +- .github/workflows/codecovr.yaml | 10 +- .github/workflows/lintr.yaml | 12 +- .gitignore | 1 + DESCRIPTION | 6 +- NEWS.md | 16 +- R/aa_helper_functions.R | 13 +- R/aa_helper_pm_functions.R | 10 +- R/ab.R | 10 +- R/ab_class_selectors.R | 10 +- R/ab_from_text.R | 10 +- R/ab_property.R | 10 +- R/age.R | 10 +- R/amr.R | 12 +- R/atc_online.R | 10 +- R/availability.R | 10 +- R/bug_drug_combinations.R | 10 +- R/catalogue_of_life.R | 10 +- R/count.R | 10 +- R/data.R | 12 +- R/deprecated.R | 10 +- R/disk.R | 10 +- R/eucast_rules.R | 10 +- R/filter_ab_class.R | 10 +- R/first_isolate.R | 12 +- R/g.test.R | 10 +- R/ggplot_pca.R | 10 +- R/ggplot_rsi.R | 10 +- R/globals.R | 10 +- R/guess_ab_col.R | 10 +- R/join_microorganisms.R | 10 +- R/key_antibiotics.R | 10 +- R/kurtosis.R | 12 +- R/lifecycle.R | 10 +- R/like.R | 10 +- R/mdro.R | 12 +- R/mic.R | 10 +- R/mo.R | 10 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10 +- tests/testthat/test-skewness.R | 10 +- vignettes/AMR.Rmd | 4 +- vignettes/EUCAST.Rmd | 2 +- vignettes/MDR.Rmd | 2 +- vignettes/datasets.Rmd | 2 +- 261 files changed, 1458 insertions(+), 1141 deletions(-) delete mode 100644 data-raw/country_analysis.R create mode 100644 docs/articles/AMR_files/header-attrs-2.3/header-attrs.js create mode 100644 docs/articles/EUCAST_files/header-attrs-2.3/header-attrs.js create mode 100644 docs/articles/MDR_files/header-attrs-2.3/header-attrs.js create mode 100644 docs/articles/PCA_files/header-attrs-2.3/header-attrs.js create mode 100644 docs/articles/SPSS_files/header-attrs-2.3/header-attrs.js create mode 100644 docs/articles/WHONET_files/header-attrs-2.3/header-attrs.js create mode 100644 docs/articles/benchmarks_files/header-attrs-2.3/header-attrs.js create mode 100644 docs/articles/datasets_files/header-attrs-2.3/header-attrs.js create mode 100644 docs/articles/resistance_predict_files/header-attrs-2.3/header-attrs.js create mode 100644 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b/.github/workflows/check.yaml index 46857eef..75a1f682 100644 --- a/.github/workflows/check.yaml +++ b/.github/workflows/check.yaml @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # on: diff --git a/.github/workflows/codecovr.yaml b/.github/workflows/codecovr.yaml index aee14073..62aa728e 100644 --- a/.github/workflows/codecovr.yaml +++ b/.github/workflows/codecovr.yaml @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # on: diff --git a/.github/workflows/lintr.yaml b/.github/workflows/lintr.yaml index 7931193b..ce68eba9 100644 --- a/.github/workflows/lintr.yaml +++ b/.github/workflows/lintr.yaml @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # -# the Free Software Foundation. # -# # +# the Free Software Foundation. # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # on: diff --git a/.gitignore b/.gitignore index 08217d47..6b83402f 100755 --- a/.gitignore +++ b/.gitignore @@ -24,3 +24,4 @@ data-raw/taxa.txt data-raw/taxon.tab data-raw/DSMZ_bactnames.xlsx data-raw/country_analysis_url_token.R +data-raw/country_analysis2.R diff --git a/DESCRIPTION b/DESCRIPTION index 4373a40d..26d41b0c 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: AMR -Version: 1.3.0.9039 -Date: 2020-10-04 +Version: 1.4.0 +Date: 2020-10-08 Title: Antimicrobial Resistance Analysis Authors@R: c( person(role = c("aut", "cre"), @@ -56,7 +56,7 @@ Suggests: tidyr, xml2 VignetteBuilder: knitr,rmarkdown -URL: https://msberends.github.io/AMR, https://github.com/msberends/AMR +URL: https://msberends.github.io/AMR/, https://github.com/msberends/AMR BugReports: https://github.com/msberends/AMR/issues License: GPL-2 | file LICENSE Encoding: UTF-8 diff --git a/NEWS.md b/NEWS.md index bbbd5870..e7dca93f 100755 --- a/NEWS.md +++ b/NEWS.md @@ -1,5 +1,5 @@ -# AMR 1.3.0.9039 -## Last updated: 4 October 2020 +# AMR 1.4.0 + Note: some changes in this version were suggested by anonymous reviewers from the journal we submitted our manuscipt about this package to. We are those reviewers very grateful for going through our code so thoroughly! @@ -206,7 +206,7 @@ Note: some changes in this version were suggested by anonymous reviewers from th This software is now out of beta and considered stable. Nonetheless, this package will be developed continually. ### New -* Support for the newest [EUCAST Clinical Breakpoint Tables v.10.0](http://www.eucast.org/clinical_breakpoints/), valid from 1 January 2020. This affects translation of MIC and disk zones using `as.rsi()` and inferred resistance and susceptibility using `eucast_rules()`. +* Support for the newest [EUCAST Clinical Breakpoint Tables v.10.0](https://www.eucast.org/clinical_breakpoints/), valid from 1 January 2020. This affects translation of MIC and disk zones using `as.rsi()` and inferred resistance and susceptibility using `eucast_rules()`. * The repository of this package now contains a clean version of the EUCAST and CLSI guidelines from 2011-2020 to translate MIC and disk diffusion values to R/SI: . This **allows for machine reading these guidelines**, which is almost impossible with the Excel and PDF files distributed by EUCAST and CLSI. This file used to process the EUCAST Clinical Breakpoints Excel file [can be found here](https://github.com/msberends/AMR/blob/master/data-raw/read_EUCAST.R). * Support for LOINC and SNOMED codes * Support for LOINC codes in the `antibiotics` data set. Use `ab_loinc()` to retrieve LOINC codes, or use a LOINC code for input in any `ab_*` function: @@ -252,7 +252,7 @@ This software is now out of beta and considered stable. Nonetheless, this packag # AMR 0.9.0 ### Breaking -* Adopted Adeolu *et al.* (2016), [PMID 27620848](https://www.ncbi.nlm.nih.gov/pubmed/27620848) for the `microorganisms` data set, which means that the new order Enterobacterales now consists of a part of the existing family Enterobacteriaceae, but that this family has been split into other families as well (like *Morganellaceae* and *Yersiniaceae*). Although published in 2016, this information is not yet in the Catalogue of Life version of 2019. All MDRO determinations with `mdro()` will now use the Enterobacterales order for all guidelines before 2016 that were dependent on the Enterobacteriaceae family. +* Adopted Adeolu *et al.* (2016), [PMID 27620848](https:/pubmed.ncbi.nlm.nih.gov/27620848/) for the `microorganisms` data set, which means that the new order Enterobacterales now consists of a part of the existing family Enterobacteriaceae, but that this family has been split into other families as well (like *Morganellaceae* and *Yersiniaceae*). Although published in 2016, this information is not yet in the Catalogue of Life version of 2019. All MDRO determinations with `mdro()` will now use the Enterobacterales order for all guidelines before 2016 that were dependent on the Enterobacteriaceae family. * If you were dependent on the old Enterobacteriaceae family e.g. by using in your code: ```r if (mo_family(somebugs) == "Enterobacteriaceae") ... @@ -591,7 +591,7 @@ We've got a new website: [https://msberends.gitlab.io/AMR](https://msberends.git * Due to this change, some `mo` codes changed (e.g. *Streptococcus* changed from `B_STRPTC` to `B_STRPT`). A translation table is used internally to support older microorganism IDs, so users will not notice this difference. * New function `mo_rank()` for the taxonomic rank (genus, species, infraspecies, etc.) * New function `mo_url()` to get the direct URL of a species from the Catalogue of Life -* Support for data from [WHONET](https://whonet.org/) and [EARS-Net](https://ecdc.europa.eu/en/about-us/partnerships-and-networks/disease-and-laboratory-networks/ears-net) (European Antimicrobial Resistance Surveillance Network): +* Support for data from [WHONET](https://whonet.org/) and [EARS-Net](https://www.ecdc.europa.eu/en/about-us/partnerships-and-networks/disease-and-laboratory-networks/ears-net) (European Antimicrobial Resistance Surveillance Network): * Exported files from WHONET can be read and used in this package. For functions like `first_isolate()` and `eucast_rules()`, all parameters will be filled in automatically. * This package now knows all antibiotic abbrevations by EARS-Net (which are also being used by WHONET) - the `antibiotics` data set now contains a column `ears_net`. * The function `as.mo()` now knows all WHONET species abbreviations too, because almost 2,000 microbial abbreviations were added to the `microorganisms.codes` data set. @@ -660,7 +660,7 @@ We've got a new website: [https://msberends.gitlab.io/AMR](https://msberends.git #### Changed * Function `eucast_rules()`: - * Updated EUCAST Clinical breakpoints to [version 9.0 of 1 January 2019](http://www.eucast.org/clinical_breakpoints/), the data set `septic_patients` now reflects these changes + * Updated EUCAST Clinical breakpoints to [version 9.0 of 1 January 2019](https://www.eucast.org/clinical_breakpoints/), the data set `septic_patients` now reflects these changes * Fixed a critical bug where some rules that depend on previous applied rules would not be applied adequately * Emphasised in manual that penicillin is meant as benzylpenicillin (ATC [J01CE01](https://www.whocc.no/atc_ddd_index/?code=J01CE01)) * New info is returned when running this function, stating exactly what has been changed or added. Use `eucast_rules(..., verbose = TRUE)` to get a data set with all changed per bug and drug combination. @@ -776,7 +776,7 @@ We've got a new website: [https://msberends.gitlab.io/AMR](https://msberends.git * Functions `MDRO`, `BRMO`, `MRGN` and `EUCAST_exceptional_phenotypes` were renamed to `mdro`, `brmo`, `mrgn` and `eucast_exceptional_phenotypes` * `EUCAST_rules` was renamed to `eucast_rules`, the old function still exists as a deprecated function * Big changes to the `eucast_rules` function: - * Now also applies rules from the EUCAST 'Breakpoint tables for bacteria', version 8.1, 2018, http://www.eucast.org/clinical_breakpoints/ (see Source of the function) + * Now also applies rules from the EUCAST 'Breakpoint tables for bacteria', version 8.1, 2018, https://www.eucast.org/clinical_breakpoints/ (see Source of the function) * New parameter `rules` to specify which rules should be applied (expert rules, breakpoints, others or all) * New parameter `verbose` which can be set to `TRUE` to get very specific messages about which columns and rows were affected * Better error handling when rules cannot be applied (i.e. new values could not be inserted) @@ -1036,7 +1036,7 @@ We've got a new website: [https://msberends.gitlab.io/AMR](https://msberends.git * Function `guess_atc` to **determine the ATC** of an antibiotic based on name, trade name, or known abbreviations * Function `freq` to create **frequency tables**, with additional info in a header * Function `MDRO` to **determine Multi Drug Resistant Organisms (MDRO)** with support for country-specific guidelines. - * [Exceptional resistances defined by EUCAST](http://www.eucast.org/expert_rules_and_intrinsic_resistance) are also supported instead of countries alone + * [Exceptional resistances defined by EUCAST](https://www.eucast.org/expert_rules_and_intrinsic_resistance/) are also supported instead of countries alone * Functions `BRMO` and `MRGN` are wrappers for Dutch and German guidelines, respectively * New algorithm to determine weighted isolates, can now be `"points"` or `"keyantibiotics"`, see `?first_isolate` * New print format for `tibble`s and `data.table`s diff --git a/R/aa_helper_functions.R b/R/aa_helper_functions.R index fb6b9bdc..ff79c8ec 100755 --- a/R/aa_helper_functions.R +++ b/R/aa_helper_functions.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # # faster implementation of left_join than using merge() by poorman - we use match(): @@ -638,3 +642,6 @@ str2lang <- function(s) { stopifnot(length(ex) == 1L) ex[[1L]] } +isNamespaceLoaded <- function(pkg) { + pkg %in% loadedNamespaces() +} diff --git a/R/aa_helper_pm_functions.R b/R/aa_helper_pm_functions.R index ef9d54a1..aa5ff7b5 100644 --- a/R/aa_helper_pm_functions.R +++ b/R/aa_helper_pm_functions.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # # ------------------------------------------------ diff --git a/R/ab.R b/R/ab.R index 9078b203..4c8639d3 100755 --- a/R/ab.R +++ b/R/ab.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Transform input to an antibiotic ID diff --git a/R/ab_class_selectors.R b/R/ab_class_selectors.R index 18230306..0272b4db 100644 --- a/R/ab_class_selectors.R +++ b/R/ab_class_selectors.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Antibiotic class selectors diff --git a/R/ab_from_text.R b/R/ab_from_text.R index 1bc19678..9b87df36 100644 --- a/R/ab_from_text.R +++ b/R/ab_from_text.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Retrieve antimicrobial drug names and doses from clinical text diff --git a/R/ab_property.R b/R/ab_property.R index 61cd0309..b4526eed 100644 --- a/R/ab_property.R +++ b/R/ab_property.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Get properties of an antibiotic diff --git a/R/age.R b/R/age.R index aa905fa6..f755dbee 100755 --- a/R/age.R +++ b/R/age.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Age in years of individuals diff --git a/R/amr.R b/R/amr.R index 6836fa5e..a91297ef 100644 --- a/R/amr.R +++ b/R/amr.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' The `AMR` Package @@ -50,7 +54,7 @@ #' @section Reference data publicly available: #' All reference data sets (about microorganisms, antibiotics, R/SI interpretation, EUCAST rules, etc.) in this `AMR` package are publicly and freely available. We continually export our data sets to formats for use in R, SPSS, SAS, Stata and Excel. We also supply flat files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please find [all download links on our website](https://msberends.github.io/AMR/articles/datasets.html), which is automatically updated with every code change. #' @section Read more on our website!: -#' On our website you can find [a comprehensive tutorial](https://msberends.github.io/AMR/articles/AMR.html) about how to conduct AMR analysis, the [complete documentation of all functions](https://msberends.github.io/AMR/reference) (which reads a lot easier than here in R) and [an example analysis using WHONET data](https://msberends.github.io/AMR/articles/WHONET.html). As we would like to better understand the backgrounds and needs of our users, please [participate in our survey](https://msberends.github.io/AMR/survey.html)! +#' On our website you can find [a comprehensive tutorial](https://msberends.github.io/AMR/articles/AMR.html) about how to conduct AMR analysis, the [complete documentation of all functions](https://msberends.github.io/AMR/reference/) and [an example analysis using WHONET data](https://msberends.github.io/AMR/articles/WHONET.html). As we would like to better understand the backgrounds and needs of our users, please [participate in our survey](https://msberends.github.io/AMR/survey.html)! #' @section Contact Us: #' For suggestions, comments or questions, please contact us at: #' diff --git a/R/atc_online.R b/R/atc_online.R index e80f5446..f27d3d92 100644 --- a/R/atc_online.R +++ b/R/atc_online.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Get ATC properties from WHOCC website diff --git a/R/availability.R b/R/availability.R index 46d14616..afdecd7f 100644 --- a/R/availability.R +++ b/R/availability.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Check availability of columns diff --git a/R/bug_drug_combinations.R b/R/bug_drug_combinations.R index 3f0e9cde..882c6ec2 100644 --- a/R/bug_drug_combinations.R +++ b/R/bug_drug_combinations.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Determine bug-drug combinations diff --git a/R/catalogue_of_life.R b/R/catalogue_of_life.R index 602ce30b..49f61e6d 100755 --- a/R/catalogue_of_life.R +++ b/R/catalogue_of_life.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' The Catalogue of Life diff --git a/R/count.R b/R/count.R index 967dedeb..6c0a9fea 100755 --- a/R/count.R +++ b/R/count.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Count available isolates diff --git a/R/data.R b/R/data.R index 13845f0a..a18f96c6 100755 --- a/R/data.R +++ b/R/data.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Data sets with `r format(nrow(antibiotics) + nrow(antivirals), big.mark = ",")` antimicrobials @@ -111,7 +115,7 @@ #' * #' @section About the records from DSMZ (see source): #' Names of prokaryotes are defined as being validly published by the International Code of Nomenclature of Bacteria. Validly published are all names which are included in the Approved Lists of Bacterial Names and the names subsequently published in the International Journal of Systematic Bacteriology (IJSB) and, from January 2000, in the International Journal of Systematic and Evolutionary Microbiology (IJSEM) as original articles or in the validation lists. -#' *(from )* +#' *(from )* #' #' In February 2020, the DSMZ records were merged with the List of Prokaryotic names with Standing in Nomenclature (LPSN). #' @source Catalogue of Life: Annual Checklist (public online taxonomic database), (check included annual version with [catalogue_of_life_version()]). diff --git a/R/deprecated.R b/R/deprecated.R index 62812c78..7373124f 100755 --- a/R/deprecated.R +++ b/R/deprecated.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Deprecated functions diff --git a/R/disk.R b/R/disk.R index 8267144e..97ead089 100644 --- a/R/disk.R +++ b/R/disk.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Transform input to disk diffusion diameters diff --git a/R/eucast_rules.R b/R/eucast_rules.R index 52e9bf4a..70682c73 100755 --- a/R/eucast_rules.R +++ b/R/eucast_rules.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # # add new version numbers here, and add the rules themselves to "data-raw/eucast_rules.tsv" diff --git a/R/filter_ab_class.R b/R/filter_ab_class.R index 18adbdcc..ea6b6bcc 100644 --- a/R/filter_ab_class.R +++ b/R/filter_ab_class.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Filter isolates on result in antimicrobial class diff --git a/R/first_isolate.R b/R/first_isolate.R index cae8b509..2e12767a 100755 --- a/R/first_isolate.R +++ b/R/first_isolate.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Determine first (weighted) isolates @@ -42,7 +46,7 @@ #' @param include_unknown logical to determine whether 'unknown' microorganisms should be included too, i.e. microbial code `"UNKNOWN"`, which defaults to `FALSE`. For WHONET users, this means that all records with organism code `"con"` (*contamination*) will be excluded at default. Isolates with a microbial ID of `NA` will always be excluded as first isolate. #' @param ... parameters passed on to the [first_isolate()] function #' @details **WHY THIS IS SO IMPORTANT** \cr -#' To conduct an analysis of antimicrobial resistance, you should only include the first isolate of every patient per episode [(ref)](https://www.ncbi.nlm.nih.gov/pubmed/17304462). If you would not do this, you could easily get an overestimate or underestimate of the resistance of an antibiotic. Imagine that a patient was admitted with an MRSA and that it was found in 5 different blood cultures the following week. The resistance percentage of oxacillin of all *S. aureus* isolates would be overestimated, because you included this MRSA more than once. It would be [selection bias](https://en.wikipedia.org/wiki/Selection_bias). +#' To conduct an analysis of antimicrobial resistance, you should only include the first isolate of every patient per episode [(ref)](https:/pubmed.ncbi.nlm.nih.gov/17304462/). If you would not do this, you could easily get an overestimate or underestimate of the resistance of an antibiotic. Imagine that a patient was admitted with an MRSA and that it was found in 5 different blood cultures the following week. The resistance percentage of oxacillin of all *S. aureus* isolates would be overestimated, because you included this MRSA more than once. It would be [selection bias](https://en.wikipedia.org/wiki/Selection_bias). #' #' All isolates with a microbial ID of `NA` will be excluded as first isolate. #' diff --git a/R/g.test.R b/R/g.test.R index b9f41571..db5bf294 100755 --- a/R/g.test.R +++ b/R/g.test.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' *G*-test for Count Data diff --git a/R/ggplot_pca.R b/R/ggplot_pca.R index ad4a6f82..2cd98d63 100755 --- a/R/ggplot_pca.R +++ b/R/ggplot_pca.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' PCA biplot with `ggplot2` diff --git a/R/ggplot_rsi.R b/R/ggplot_rsi.R index b43a5169..59fe3852 100755 --- a/R/ggplot_rsi.R +++ b/R/ggplot_rsi.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' AMR plots with `ggplot2` diff --git a/R/globals.R b/R/globals.R index dc6313b7..ae241001 100755 --- a/R/globals.R +++ b/R/globals.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # globalVariables(c(".rowid", diff --git a/R/guess_ab_col.R b/R/guess_ab_col.R index 0ece22c7..441f498c 100755 --- a/R/guess_ab_col.R +++ b/R/guess_ab_col.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Guess antibiotic column diff --git a/R/join_microorganisms.R b/R/join_microorganisms.R index 6af73977..78fa72d4 100755 --- a/R/join_microorganisms.R +++ b/R/join_microorganisms.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Join [microorganisms] to a data set diff --git a/R/key_antibiotics.R b/R/key_antibiotics.R index 41aecd1c..b7fb8b2e 100755 --- a/R/key_antibiotics.R +++ b/R/key_antibiotics.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Key antibiotics for first *weighted* isolates diff --git a/R/kurtosis.R b/R/kurtosis.R index 485adcb3..7efbd0ee 100755 --- a/R/kurtosis.R +++ b/R/kurtosis.R @@ -1,29 +1,33 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Kurtosis of the sample #' #' @description Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. A normal distribution has a kurtosis of 3 and a excess kurtosis of 0. #' @inheritSection lifecycle Stable lifecycle -#' @param x a vector of values, a [`matrix`] or a [data.frame] +#' @param x a vector of values, a [matrix] or a [data.frame] #' @param na.rm a logical to indicate whether `NA` values should be stripped before the computation proceeds #' @param excess a logical to indicate whether the *excess kurtosis* should be returned, defined as the kurtosis minus 3. #' @seealso [skewness()] diff --git a/R/lifecycle.R b/R/lifecycle.R index 94fabf79..d029dfd4 100644 --- a/R/lifecycle.R +++ b/R/lifecycle.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # ############### diff --git a/R/like.R b/R/like.R index c557fb59..2224a170 100755 --- a/R/like.R +++ b/R/like.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Pattern Matching diff --git a/R/mdro.R b/R/mdro.R index ccf9823a..99604b9d 100755 --- a/R/mdro.R +++ b/R/mdro.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Determine multidrug-resistant organisms (MDRO) @@ -45,7 +49,7 @@ #' - `guideline = "MRGN"`\cr #' The German national guideline - Mueller et al. (2015) Antimicrobial Resistance and Infection Control 4:7. DOI: 10.1186/s13756-015-0047-6 #' - `guideline = "BRMO"`\cr -#' The Dutch national guideline - Rijksinstituut voor Volksgezondheid en Milieu "WIP-richtlijn BRMO (Bijzonder Resistente Micro-Organismen) (ZKH)" ([link](https://www.rivm.nl/Documenten_en_publicaties/Professioneel_Praktisch/Richtlijnen/Infectieziekten/WIP_Richtlijnen/WIP_Richtlijnen/Ziekenhuizen/WIP_richtlijn_BRMO_Bijzonder_Resistente_Micro_Organismen_ZKH)) +#' The Dutch national guideline - Rijksinstituut voor Volksgezondheid en Milieu "WIP-richtlijn BRMO (Bijzonder Resistente Micro-Organismen) (ZKH)" ([link](https://www.rivm.nl/wip-richtlijn-brmo-bijzonder-resistente-micro-organismen-zkh)) #' #' Please suggest your own (country-specific) guidelines by letting us know: . #' diff --git a/R/mic.R b/R/mic.R index d7545060..dc9c23ba 100755 --- a/R/mic.R +++ b/R/mic.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Transform input to minimum inhibitory concentrations (MIC) diff --git a/R/mo.R b/R/mo.R index e6a1fbf0..7475929a 100755 --- a/R/mo.R +++ b/R/mo.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Transform input to a microorganism ID diff --git a/R/mo_matching_score.R b/R/mo_matching_score.R index 386d88f7..92e4676e 100755 --- a/R/mo_matching_score.R +++ b/R/mo_matching_score.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Calculate the matching score for microorganisms @@ -27,7 +31,7 @@ #' @section Matching score for microorganisms: #' With ambiguous user input in [as.mo()] and all the [`mo_*`][mo_property()] functions, the returned results are chosen based on their matching score using [mo_matching_score()]. This matching score \eqn{m}, is calculated as: #' -#' \deqn{m_{(x, n)} = \frac{l_{n} - 0.5 \cdot \min \begin{cases}l_{n} \\ \operatorname{lev}(x, n)\end{cases}}{l_{n} \cdot p_{n} \cdot k_{n}}}{m(x, n) = ( l_n * min(l_n, lev(x, n) ) ) / ( l_n * p_n * k_n )} +#' \deqn{m_{(x, n)} = \frac{l_{n} - 0.5 \cdot \min \begin{cases}l_{n} \\ \textrm{lev}(x, n)\end{cases}}{l_{n} \cdot p_{n} \cdot k_{n}}}{m(x, n) = ( l_n * min(l_n, lev(x, n) ) ) / ( l_n * p_n * k_n )} #' #' where: #' @@ -49,29 +53,35 @@ #' mo_matching_score(x = "E. coli", #' n = c("Escherichia coli", "Entamoeba coli")) mo_matching_score <- function(x, n) { + x <- parse_and_convert(x) + # no dots and other non-whitespace characters + x <- gsub("[^a-zA-Z0-9 \\(\\)]+", "", x) + # only keep one space + x <- gsub(" +", " ", x) + # n is always a taxonomically valid full name - levenshtein <- double(length = length(x)) if (length(n) == 1) { n <- rep(n, length(x)) } if (length(x) == 1) { x <- rep(x, length(n)) } + + # length of fullname + l_n <- nchar(n) + lev <- double(length = length(x)) + l_n.lev <- double(length = length(x)) for (i in seq_len(length(x))) { # determine Levenshtein distance, but maximise to nchar of n - levenshtein[i] <- min(as.double(utils::adist(x[i], n[i], ignore.case = FALSE)), - nchar(n[i])) + lev[i] <- utils::adist(x[i], n[i], ignore.case = FALSE, fixed = TRUE) + # minimum of (l_n, Levenshtein distance) + l_n.lev[i] <- min(l_n[i], as.double(lev[i])) } - - # F = length of fullname - var_F <- nchar(n) - # L = modified Levenshtein distance - var_L <- levenshtein - # P = prevalence (1 to 3), see ?as.mo - var_P <- MO_lookup[match(n, MO_lookup$fullname), "prevalence", drop = TRUE] - # K = kingdom index (Bacteria = 1, Fungi = 2, Protozoa = 3, Archaea = 4, others = 5) - var_K <- MO_lookup[match(n, MO_lookup$fullname), "kingdom_index", drop = TRUE] + # human pathogenic prevalence (1 to 3), see ?as.mo + p_n <- MO_lookup[match(n, MO_lookup$fullname), "prevalence", drop = TRUE] + # kingdom index (Bacteria = 1, Fungi = 2, Protozoa = 3, Archaea = 4, others = 5) + k_n <- MO_lookup[match(n, MO_lookup$fullname), "kingdom_index", drop = TRUE] # matching score: - (var_F - 0.5 * var_L) / (var_F * var_P * var_K) + (l_n - 0.5 * l_n.lev) / (l_n * p_n * k_n) } diff --git a/R/mo_property.R b/R/mo_property.R index 6d05fb4a..466300a6 100755 --- a/R/mo_property.R +++ b/R/mo_property.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Get properties of a microorganism diff --git a/R/mo_source.R b/R/mo_source.R index 8bb6f63f..a1d2c718 100644 --- a/R/mo_source.R +++ b/R/mo_source.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' User-defined reference data set for microorganisms diff --git a/R/p_symbol.R b/R/p_symbol.R index 7c7d51bc..1be98e46 100755 --- a/R/p_symbol.R +++ b/R/p_symbol.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Symbol of a p-value diff --git a/R/pca.R b/R/pca.R index 9d319e3f..87e99199 100755 --- a/R/pca.R +++ b/R/pca.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Principal Component Analysis (for AMR) diff --git a/R/proportion.R b/R/proportion.R index b13947f7..b5ac10ab 100755 --- a/R/proportion.R +++ b/R/proportion.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Calculate microbial resistance diff --git a/R/resistance_predict.R b/R/resistance_predict.R index ea0a76cc..081db72b 100755 --- a/R/resistance_predict.R +++ b/R/resistance_predict.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Predict antimicrobial resistance diff --git a/R/rsi.R b/R/rsi.R index 0f048da7..c8fd5762 100755 --- a/R/rsi.R +++ b/R/rsi.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Interpret MIC and disk values, or clean raw R/SI data @@ -76,7 +80,7 @@ #' #' The function [is.rsi.eligible()] returns `TRUE` when a columns contains at most 5% invalid antimicrobial interpretations (not S and/or I and/or R), and `FALSE` otherwise. The threshold of 5% can be set with the `threshold` parameter. #' @section Interpretation of R and S/I: -#' In 2019, the European Committee on Antimicrobial Susceptibility Testing (EUCAST) has decided to change the definitions of susceptibility testing categories R and S/I as shown below (). +#' In 2019, the European Committee on Antimicrobial Susceptibility Testing (EUCAST) has decided to change the definitions of susceptibility testing categories R and S/I as shown below (). #' #' - **R = Resistant**\cr #' A microorganism is categorised as *Resistant* when there is a high likelihood of therapeutic failure even when there is increased exposure. Exposure is a function of how the mode of administration, dose, dosing interval, infusion time, as well as distribution and excretion of the antimicrobial agent will influence the infecting organism at the site of infection. diff --git a/R/rsi_calc.R b/R/rsi_calc.R index f53eb9d0..50c1fd82 100755 --- a/R/rsi_calc.R +++ b/R/rsi_calc.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # dots2vars <- function(...) { diff --git a/R/rsi_df.R b/R/rsi_df.R index 2dc707ec..80e7ea85 100644 --- a/R/rsi_df.R +++ b/R/rsi_df.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' @rdname proportion diff --git a/R/skewness.R b/R/skewness.R index 735071eb..00173e20 100755 --- a/R/skewness.R +++ b/R/skewness.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Skewness of the sample @@ -25,7 +29,7 @@ #' #' When negative ('left-skewed'): the left tail is longer; the mass of the distribution is concentrated on the right of a histogram. When positive ('right-skewed'): the right tail is longer; the mass of the distribution is concentrated on the left of a histogram. A normal distribution has a skewness of 0. #' @inheritSection lifecycle Stable lifecycle -#' @param x a vector of values, a [`matrix`] or a [data.frame] +#' @param x a vector of values, a [matrix] or a [data.frame] #' @param na.rm a logical value indicating whether `NA` values should be stripped before the computation proceeds #' @seealso [kurtosis()] #' @rdname skewness diff --git a/R/translate.R b/R/translate.R index 9d3c9d5d..57abc10d 100755 --- a/R/translate.R +++ b/R/translate.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Translate strings from AMR package diff --git a/R/whocc.R b/R/whocc.R index c192064a..ea685ffc 100755 --- a/R/whocc.R +++ b/R/whocc.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' WHOCC: WHO Collaborating Centre for Drug Statistics Methodology diff --git a/R/zzz.R b/R/zzz.R index 702b4bfc..6ef2c1e0 100755 --- a/R/zzz.R +++ b/R/zzz.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # .onLoad <- function(libname, pkgname) { @@ -49,14 +53,14 @@ # developers of the vctrs package: # https://github.com/r-lib/vctrs/blob/05968ce8e669f73213e3e894b5f4424af4f46316/R/register-s3.R s3_register("pillar::pillar_shaft", "ab") - s3_register("tibble::type_sum", "ab") s3_register("pillar::pillar_shaft", "mo") - s3_register("tibble::type_sum", "mo") s3_register("pillar::pillar_shaft", "rsi") - s3_register("tibble::type_sum", "rsi") s3_register("pillar::pillar_shaft", "mic") - s3_register("tibble::type_sum", "mic") s3_register("pillar::pillar_shaft", "disk") + s3_register("tibble::type_sum", "ab") + s3_register("tibble::type_sum", "mo") + s3_register("tibble::type_sum", "rsi") + s3_register("tibble::type_sum", "mic") s3_register("tibble::type_sum", "disk") # Support for frequency tables from the cleaner package s3_register("cleaner::freq", "mo") @@ -81,8 +85,8 @@ create_species_cons_cops <- function(type = c("CoNS", "CoPS")) { # Determination of which staphylococcal species are CoNS/CoPS according to Becker et al.: - # https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4187637/figure/F3/ - # returns class + # https://cmr.asm.org/content/cmr/27/4/870/F6.large.jpg + # this function returns class MO_staph <- AMR::microorganisms MO_staph <- MO_staph[which(MO_staph$genus == "Staphylococcus"), , drop = FALSE] if (type == "CoNS") { diff --git a/README.md b/README.md index 5cdca526..1b5dd23d 100755 --- a/README.md +++ b/README.md @@ -13,7 +13,7 @@ After installing this package, R knows ~70,000 distinct microbial species and al This package is fully independent of any other R package and works on Windows, macOS and Linux with all versions of R since R-3.0.0 (April 2013). It was designed to work in any setting, including those with very limited resources. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the University of Groningen, in collaboration with non-profit organisations Certe Medical Diagnostics and Advice and University Medical Center Groningen. This R package is actively maintained and free software; you can freely use and distribute it for both personal and commercial (but not patent) purposes under the terms of the GNU General Public License version 2.0 (GPL-2), as published by the Free Software Foundation. -This is the development source of the `AMR` package for R. Not a developer? Then please visit our website [https://msberends.github.io/AMR](https://msberends.github.io/AMR) to read more about this package. +This is the development source of the `AMR` package for R. Not a developer? Then please visit our website [https://msberends.github.io/AMR/](https://msberends.github.io/AMR/) to read more about this package. *NOTE: this source code is on GitHub (https://github.com/msberends/AMR), but also automatically mirrored to GitLab (https://gitlab.com/msberends/AMR).* diff --git a/_pkgdown.yml b/_pkgdown.yml index 38ec2a4d..d5a4a5fc 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -1,26 +1,30 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # title: "AMR (for R)" -url: "https://msberends.github.io/AMR" +url: "https://msberends.github.io/AMR/" development: mode: "release" # improves indexing by search engines @@ -132,7 +136,7 @@ reference: desc: > With `as.mic()` and `as.disk()` you can transform your raw input to valid MIC or disk diffusion values. Use `as.rsi()` for cleaning raw data to let it only contain "R", "I" and "S", or to interpret MIC or disk diffusion values as R/SI based on the lastest EUCAST and CLSI guidelines. - Afterwards, you can extend antibiotic interpretations by applying [EUCAST rules](http://www.eucast.org/expert_rules_and_intrinsic_resistance/) with `eucast_rules()`. + Afterwards, you can extend antibiotic interpretations by applying [EUCAST rules](https://www.eucast.org/expert_rules_and_intrinsic_resistance/) with `eucast_rules()`. contents: - "`as.rsi`" - "`as.mic`" diff --git a/codecov.yml b/codecov.yml index 2e550ab0..e522ee00 100644 --- a/codecov.yml +++ b/codecov.yml @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # codecov: diff --git a/data-raw/country_analysis.R b/data-raw/country_analysis.R deleted file mode 100644 index d4a0cdc8..00000000 --- a/data-raw/country_analysis.R +++ /dev/null @@ -1,206 +0,0 @@ -# ==================================================================== # -# TITLE # -# Antimicrobial Resistance (AMR) Analysis # -# # -# SOURCE # -# https://github.com/msberends/AMR # -# # -# LICENCE # -# (c) 2018-2020 Berends MS, Luz CF et al. # -# # -# This R package is free software; you can freely use and distribute # -# it for both personal and commercial purposes under the terms of the # -# GNU General Public License version 2.0 (GNU GPL-2), as published by # -# the Free Software Foundation. # -# # -# We created this package for both routine data analysis and academic # -# research and it was publicly released in the hope that it will be # -# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # -# ==================================================================== # - -# Read and format data ---------------------------------------------------- - -library(tidyverse) -library(maps) -library(httr) - -GET_df <- function(ip) { - ip <- paste0("https://ipinfo.io/", ip, "?token=", ipinfo_token) - result <- ip %>% GET() - stop_for_status(result) - result %>% - content(type = "text", encoding = "UTF-8") %>% - jsonlite::fromJSON(flatten = TRUE) %>% - as_tibble() -} - -# get website analytics -source("data-raw/country_analysis_url_token.R") -url_json <- paste0(country_analysis_url, - "/index.php?&module=API&token_auth=", - country_analysis_token, - "&method=Live.getLastVisitsDetails&idSite=3&language=en&expanded=1&date=2018-01-01,2028-01-01&period=range&filter_limit=-1&format=JSON&segment=&translateColumnNames=1") -data_json <- jsonlite::read_json(url_json) -data <- tibble( - timestamp_server = as.POSIXct(sapply(data_json, function(x) x$serverTimestamp), origin = "1970-01-01"), - ipaddress = sapply(data_json, function(x) x$visitIp)) -rm(data_json) - -# add country data based on IP address and ipinfo.io API -unique_ip <- unique(data$ipaddress) -ip_tbl <- GET_df(unique_ip[1]) -p <- AMR:::progress_estimated(n = length(unique_ip) - 1, min_time = 0) -for (i in 2:length(unique_ip)) { - p$tick() - ip_tbl <- ip_tbl %>% - bind_rows(GET_df(unique_ip[i])) -} -close(p) - -ip_tbl.bak <- ip_tbl - -# add long and lat -ip_tbl <- ip_tbl %>% - separate(loc, into = c("y", "x"), sep = ",", remove = FALSE, convert = TRUE) - -# Plot world map ---------------------------------------------------------- - -countries_geometry <- sf::st_as_sf(map('world', plot = FALSE, fill = TRUE)) %>% - mutate(countries_code = countrycode::countrycode(ID, - origin = 'country.name', - destination = 'iso2c', - custom_match = c("Ascension Island" = "GB", # Great Britain - "Azores" = "PT", # Portugal - "Barbuda" = "GB", # Great Britain - "Bonaire" = "BQ", # Bonaire, Saint Eustatius and Saba - "Canary Islands" = "ES", # Spain - "Chagos Archipelago" = "MU", # Mauritius - "Grenadines" = "VC", # Saint Vincent and the Grenadines - "Heard Island" = "AU", # Australia - "Kosovo" = "XK", - "Madeira Islands" = "PT", # Portugal - "Micronesia" = "FM", - "Saba" = "BQ", # Bonaire, Saint Eustatius and Saba - "Saint Martin" = "MF", - "Siachen Glacier" = "IN", # India - "Sint Eustatius" = "BQ" # Bonaire, Saint Eustatius and Saba - )), - included = as.integer(countries_code %in% ip_tbl$country), - not_antarctica = as.integer(ID != "Antarctica"), - countries_name = ifelse(included == 1, as.character(ID), NA)) - -# add countries not in the list -countries_missing <- unique(ip_tbl$country[!ip_tbl$country %in% countries_geometry$countries_code]) -for (i in seq_len(length(countries_missing))) { - countries_geometry <- countries_geometry %>% - rbind(countries_geometry %>% - filter(ID == "Netherlands") %>% - mutate(ID = countrycode::countrycode(countries_missing[i], - origin = 'iso2c', - destination = 'country.name'), - countries_code = countries_missing[i], - included = 1, - not_antarctica = 1, - countries_name = countrycode::countrycode(countries_missing[i], - origin = 'iso2c', - destination = 'country.name'))) -} - -# how many? -countries_geometry %>% filter(included == 1) %>% nrow() - -countries_geometry$countries_name <- gsub("UK", "United Kingdom", countries_geometry$countries_name, fixed = TRUE) -countries_geometry$countries_name <- gsub("USA", "United States", countries_geometry$countries_name, fixed = TRUE) - -countries_plot <- ggplot(countries_geometry) + - geom_sf(aes(fill = included, colour = not_antarctica), - size = 0.25, - show.legend = FALSE) + - theme_minimal() + - theme(panel.grid = element_blank(), - axis.title = element_blank(), - axis.text = element_blank()) + - scale_fill_gradient(low = "white", high = "#128f7645") + - # this makes the border Antarctica turn white (invisible): - scale_colour_gradient(low = "white", high = "#128f76") - -countries_plot_mini <- countries_plot -countries_plot_mini$data <- countries_plot_mini$data %>% filter(ID != "Antarctica") -# countries_plot_mini <- countries_plot_mini + scale_colour_gradient(low = "#81899B", high = "#81899B") -countries_plot_big <- countries_plot + - labs(title = tools::toTitleCase("Countries the AMR package for R was downloaded from"), - subtitle = paste0("Between March 2018 (first release) and ", - format(Sys.Date(), "%B %Y")), - caption = "Source: https://cran-logs.rstudio.com") + - theme(plot.title = element_text(size = 16, hjust = 0.5), - plot.subtitle = element_text(size = 12, hjust = 0.5)) + - geom_text(aes(x = -170, - y = -75, - label = stringr::str_wrap(paste0("Countries (n = ", - length(countries_name[!is.na(countries_name)]), "): ", - paste(sort(countries_name[!is.na(countries_name)]), collapse = ", ")), - 200)), - hjust = 0, - size = 4) - -# main website page -ggsave("pkgdown/logos/countries.png", - width = 6, - height = 2.5, - units = "in", - dpi = 100, - plot = countries_plot_mini, - scale = 1) -# when clicked - a high res enlargement -ggsave("pkgdown/logos/countries_large.png", - width = 11, - height = 6, - units = "in", - dpi = 300, - plot = countries_plot_big, - scale = 1.5) - - -# Gibberish --------------------------------------------------------------- - -data %>% - left_join(ip_tbl, by = c("ipaddress" = "ip")) %>% - group_by(country = countrycode::countrycode(country, - origin = 'iso2c', - destination = 'country.name', - custom_match = c(XK = "Kosovo"))) %>% - summarise(first = min(timestamp_server)) %>% - arrange(desc(first)) %>% - mutate(frame = case_when(first <= as.POSIXct("2019-06-30") ~ "Q1-Q2 2019", - first <= as.POSIXct("2019-12-31") ~ "Q3-Q4 2019", - TRUE ~ "Q1-Q2 2020")) %>% - View() -# -# p1 <- data %>% -# group_by(country) %>% -# summarise(first = min(timestamp_server)) %>% -# arrange(first) %>% -# mutate(n = row_number()) %>% -# ggplot(aes(x = first, y = n)) + -# geom_line() + -# geom_point(aes(x = max(first), y = max(n)), size = 3) + -# scale_x_datetime(date_breaks = "2 months", date_labels = "%B %Y") + -# labs(x = NULL, y = "Number of countries") -# -# package_releases <- read_html("https://cran.r-project.org/src/contrib/Archive/AMR/") %>% -# rvest::html_table() %>% -# .[[1]] %>% -# as_tibble(.name_repair = "unique") %>% -# filter(`Last modified` != "") %>% -# transmute(version = gsub("[^0-9.]", "", -# gsub(".tar.gz", "", Name)), -# datetime = as.POSIXct(`Last modified`)) %>% -# # add current -# bind_rows(tibble(version = as.character(packageVersion("AMR")), -# datetime = as.POSIXct(packageDate("AMR")))) %>% -# # remove the ones not plottable -# filter(datetime > min(p1$data$first)) -# -# p1 + geom_linerange(data = package_releases, aes(x = datetime, ymin = 0, ymax = 80), colour = "red", inherit.aes = FALSE) -# diff --git a/data-raw/internals.R b/data-raw/internals.R index 37bccd9b..f65cc988 100644 --- a/data-raw/internals.R +++ b/data-raw/internals.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # # Run this file to update the package using: ------------------------------- diff --git a/data-raw/loinc.R b/data-raw/loinc.R index c6a4b23b..b3cf2a5e 100644 --- a/data-raw/loinc.R +++ b/data-raw/loinc.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # # last updated: 20 January 2020 - Loinc_2.67 diff --git a/data-raw/poorman_prepend.R b/data-raw/poorman_prepend.R index 74d0fa40..6655fb13 100644 --- a/data-raw/poorman_prepend.R +++ b/data-raw/poorman_prepend.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # # ------------------------------------------------ diff --git a/data-raw/read_EUCAST.R b/data-raw/read_EUCAST.R index 646d5108..45c36efb 100644 --- a/data-raw/read_EUCAST.R +++ b/data-raw/read_EUCAST.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # library(openxlsx) diff --git a/data-raw/reproduction_of_antibiotics.R b/data-raw/reproduction_of_antibiotics.R index 285e2c53..a132238a 100644 --- a/data-raw/reproduction_of_antibiotics.R +++ b/data-raw/reproduction_of_antibiotics.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # library(dplyr) diff --git a/data-raw/reproduction_of_antivirals.R b/data-raw/reproduction_of_antivirals.R index 0167f06c..0b44e31b 100644 --- a/data-raw/reproduction_of_antivirals.R +++ b/data-raw/reproduction_of_antivirals.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # # get all data from the WHOCC website diff --git a/data-raw/reproduction_of_example_isolates_unclean.R b/data-raw/reproduction_of_example_isolates_unclean.R index c49baa26..b60f0c0a 100644 --- a/data-raw/reproduction_of_example_isolates_unclean.R +++ b/data-raw/reproduction_of_example_isolates_unclean.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # patients <- unlist(lapply(LETTERS, paste0, 1:10)) diff --git a/data-raw/reproduction_of_intrinsic_resistant.R b/data-raw/reproduction_of_intrinsic_resistant.R index 5d98cfcf..fc1ac02e 100644 --- a/data-raw/reproduction_of_intrinsic_resistant.R +++ b/data-raw/reproduction_of_intrinsic_resistant.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # library(AMR) diff --git a/data-raw/reproduction_of_microorganisms.R b/data-raw/reproduction_of_microorganisms.R index fc9e92ab..4450d0b6 100644 --- a/data-raw/reproduction_of_microorganisms.R +++ b/data-raw/reproduction_of_microorganisms.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # # Reproduction of the `microorganisms` data set diff --git a/data-raw/snomed.R b/data-raw/snomed.R index 30b753f1..154ddbac 100644 --- a/data-raw/snomed.R +++ b/data-raw/snomed.R @@ -1,22 +1,26 @@ # ==================================================================== # # TITLE # -# Antimicrobial Resistance (AMR) Analysis # +# Antimicrobial Resistance (AMR) Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2020 Berends MS, Luz CF et al. # +# Developed at the University of Groningen, the Netherlands, in # +# collaboration with non-profit organisations Certe Medical # +# Diagnostics & Advice, and University Medical Center Groningen. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # -# # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # -# Visit our website for more info: https://msberends.github.io/AMR. # +# # +# Visit our website for the full manual and a complete tutorial about # +# how to conduct AMR analysis: https://msberends.github.io/AMR/ # # ==================================================================== # library(AMR) diff --git a/docs/404.html b/docs/404.html index 42f0e181..0cd638ac 100644 --- a/docs/404.html +++ b/docs/404.html @@ -9,12 +9,12 @@ Page not found (404) • AMR (for R) - - - - - - + + + + + + @@ -25,8 +25,8 @@ - - + + @@ -40,13 +40,13 @@ - - + + - - + + @@ -80,8 +80,8 @@ - AMR (for R) - 1.3.0.9039 + AMR (for R) + 1.4.0 diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html index a2f3913a..49932b37 100644 --- a/docs/LICENSE-text.html +++ b/docs/LICENSE-text.html @@ -81,7 +81,7 @@ AMR (for R) - 1.3.0.9039 + 1.4.0 diff --git a/docs/articles/AMR.html b/docs/articles/AMR.html index e267f500..e7a7ad6b 100644 --- a/docs/articles/AMR.html +++ b/docs/articles/AMR.html @@ -187,13 +187,13 @@ -
+

How to conduct AMR analysis

Matthijs S. Berends

-

30 September 2020

+

08 October 2020

Source: vignettes/AMR.Rmd @@ -202,7 +202,7 @@ -

Note: values on this page will change with every website update since they are based on randomly created values and the page was written in R Markdown. However, the methodology remains unchanged. This page was generated on 30 September 2020.

+

Note: values on this page will change with every website update since they are based on randomly created values and the page was written in R Markdown. However, the methodology remains unchanged. This page was generated on 08 October 2020.

Introduction

@@ -233,21 +233,21 @@ -2020-09-30 +2020-10-08 abcd Escherichia coli S S -2020-09-30 +2020-10-08 abcd Escherichia coli S R -2020-09-30 +2020-10-08 efgh Escherichia coli R @@ -361,69 +361,69 @@ -2016-08-26 -P9 -Hospital C -Escherichia coli -I +2014-02-15 +Y9 +Hospital A +Streptococcus pneumoniae +R +S S S -R F -2016-09-24 -T6 -Hospital B -Escherichia coli +2012-05-11 +J4 +Hospital C +Klebsiella pneumoniae +R S -I S S -F +M -2017-04-02 -X1 -Hospital D -Klebsiella pneumoniae -S +2013-06-10 +J1 +Hospital B +Staphylococcus aureus +R S S S -F +M -2016-12-13 -F1 -Hospital A +2013-02-02 +U4 +Hospital B Escherichia coli S +R S S -S -M +F -2012-02-05 -O8 -Hospital B -Staphylococcus aureus +2015-12-04 +S10 +Hospital A +Streptococcus pneumoniae +S S S -R S F -2017-06-17 -K1 +2016-09-17 +G2 Hospital B -Streptococcus pneumoniae -R +Escherichia coli R S S +S M @@ -459,16 +459,16 @@ Longest: 1

1 M -10,232 -51.16% -10,232 -51.16% +10,310 +51.55% +10,310 +51.55% 2 F -9,768 -48.84% +9,690 +48.45% 20,000 100.00% @@ -485,7 +485,7 @@ Longest: 1

data <- data %>% mutate_at(vars(AMX:GEN), as.rsi)
-

Finally, we will apply EUCAST rules on our antimicrobial results. In Europe, most medical microbiological laboratories already apply these rules. Our package features their latest insights on intrinsic resistance and exceptional phenotypes. Moreover, the eucast_rules() function can also apply additional rules, like forcing ampicillin = R when amoxicillin/clavulanic acid = R.

+

Finally, we will apply EUCAST rules on our antimicrobial results. In Europe, most medical microbiological laboratories already apply these rules. Our package features their latest insights on intrinsic resistance and exceptional phenotypes. Moreover, the eucast_rules() function can also apply additional rules, like forcing ampicillin = R when amoxicillin/clavulanic acid = R.

Because the amoxicillin (column AMX) and amoxicillin/clavulanic acid (column AMC) in our data were generated randomly, some rows will undoubtedly contain AMX = S and AMC = R, which is technically impossible. The eucast_rules() fixes this:

 data <- eucast_rules(data, col_mo = "bacteria", rules = "all")
@@ -506,7 +506,7 @@ Longest: 1

 

 First isolates

 
We also need to know which isolates we can actually use for analysis.

-
To conduct an analysis of antimicrobial resistance, you must only include the first isolate of every patient per episode (Hindler et al., Clin Infect Dis. 2007). If you would not do this, you could easily get an overestimate or underestimate of the resistance of an antibiotic. Imagine that a patient was admitted with an MRSA and that it was found in 5 different blood cultures the following weeks (yes, some countries like the Netherlands have these blood drawing policies). The resistance percentage of oxacillin of all  isolates would be overestimated, because you included this MRSA more than once. It would clearly be selection bias.

+
To conduct an analysis of antimicrobial resistance, you must only include the first isolate of every patient per episode (Hindler et al., Clin Infect Dis. 2007). If you would not do this, you could easily get an overestimate or underestimate of the resistance of an antibiotic. Imagine that a patient was admitted with an MRSA and that it was found in 5 different blood cultures the following weeks (yes, some countries like the Netherlands have these blood drawing policies). The resistance percentage of oxacillin of all  isolates would be overestimated, because you included this MRSA more than once. It would clearly be selection bias.

 
The Clinical and Laboratory Standards Institute (CLSI) appoints this as follows:

 

 
(…) When preparing a cumulative antibiogram to guide clinical decisions about empirical antimicrobial therapy of initial infections, only the first isolate of a given species per patient, per analysis period (eg, one year) should be included, irrespective of body site, antimicrobial susceptibility profile, or other phenotypical characteristics (eg, biotype). The first isolate is easily identified, and cumulative antimicrobial susceptibility test data prepared using the first isolate are generally comparable to cumulative antimicrobial susceptibility test data calculated by other methods, providing duplicate isolates are excluded. 
M39-A4 Analysis and Presentation of Cumulative Antimicrobial Susceptibility Test Data, 4th Edition. CLSI, 2014. Chapter 6.4

@@ -533,7 +533,7 @@ Longest: 1

 

 

 First weighted isolates

-
We made a slight twist to the CLSI algorithm, to take into account the antimicrobial susceptibility profile. Have a look at all isolates of patient Z5, sorted on date:

+
We made a slight twist to the CLSI algorithm, to take into account the antimicrobial susceptibility profile. Have a look at all isolates of patient T8, sorted on date:

 
@@ -549,74 +549,74 @@ Longest: 1

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@@ -626,19 +626,19 @@ Longest: 1

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 isolate
 

 

 12010-02-11Z52010-04-04T8
 B_ESCHR_COLI
 S
 SSR
 S
 TRUE
 

 

 22010-04-11Z52010-10-03T8
 B_ESCHR_COLI
 S
 SRS
 S
 FALSE
 

 

 32010-05-31Z52010-10-19T8
 B_ESCHR_COLIRISS
 S
 S
 FALSE
 

 

 42011-03-29Z52011-01-12T8
 B_ESCHR_COLIR
 SR
 STRUESSFALSE
 

 

 52011-04-23Z52011-02-03T8
 B_ESCHR_COLI
 S
 SRS
 S
 FALSE
 

 

 62011-05-06Z52011-04-04T8
 B_ESCHR_COLI
 R
 SR
 SFALSESTRUE
 

 

 72011-09-05Z52011-05-23T8
 B_ESCHR_COLI
 R
 S
 

 

 82011-09-29Z52011-06-09T8
 B_ESCHR_COLI
 S
 SRS
 S
 FALSE
 

 

 92011-11-16Z52011-07-02T8
 B_ESCHR_COLI
 S
 S
 

 

 102011-11-26Z52011-12-05T8
 B_ESCHR_COLI
 S
 S
 SRS
 FALSE
 

 
 
 

 12010-02-11Z52010-04-04T8
 B_ESCHR_COLI
 S
 SSR
 S
 TRUE
 TRUE
 

 

 22010-04-11Z52010-10-03T8
 B_ESCHR_COLI
 S
 SRS
 S
 FALSE
 TRUE
 

 

 32010-05-31Z52010-10-19T8
 B_ESCHR_COLIRISS
 S
 S
 FALSETRUEFALSE
 

 

 42011-03-29Z52011-01-12T8
 B_ESCHR_COLIR
 SR
 STRUETRUESSFALSEFALSE
 

 

 52011-04-23Z52011-02-03T8
 B_ESCHR_COLI
 S
 SRS
 S
 FALSETRUEFALSE
 

 

 62011-05-06Z52011-04-04T8
 B_ESCHR_COLI
 R
 SR
 SFALSESTRUE
 TRUE
 

 

 72011-09-05Z52011-05-23T8
 B_ESCHR_COLI
 R
 S
 S
 S
 FALSETRUEFALSE
 

 

 82011-09-29Z52011-06-09T8
 B_ESCHR_COLI
 S
 SRS
 S
 FALSE
 TRUE
 

 

 92011-11-16Z52011-07-02T8
 B_ESCHR_COLI
 S
 S
 S
 S
 FALSETRUEFALSE
 

 

 102011-11-26Z52011-12-05T8
 B_ESCHR_COLI
 S
 S
 SRSFALSE
 FALSETRUE
 

 
 

-
Instead of 2, now 10 isolates are flagged. In total, 78.6% of all isolates are marked ‘first weighted’ - 50.1% more than when using the CLSI guideline. In real life, this novel algorithm will yield 5-10% more isolates than the classic CLSI guideline.

+
Instead of 2, now 4 isolates are flagged. In total, 78.7% of all isolates are marked ‘first weighted’ - 50.2% more than when using the CLSI guideline. In real life, this novel algorithm will yield 5-10% more isolates than the classic CLSI guideline.

 
As with filter_first_isolate(), there’s a shortcut for this new algorithm too:

 
 data_1st <- data %>% 
   filter_first_weighted_isolate()
 

-
So we end up with 15,718 isolates for analysis.

+
So we end up with 15,741 isolates for analysis.

 
We can remove unneeded columns:

 
 data_1st <- data_1st %>% 
@@ -836,7 +836,7 @@ Longest: 1

 
 
 
-
+
 
 
 
@@ -859,98 +859,98 @@ Longest: 1

 
 
 1
-2016-08-26
-P9
-Hospital C
-B_ESCHR_COLI
-I
-S
+2014-02-15
+Y9
+Hospital A
+B_STRPT_PNMN
+R
+R
 S
 R
 F
-Gram-negative
-Escherichia
-coli
+Gram-positive
+Streptococcus
+pneumoniae
 TRUE
 
 
 2
-2016-09-24
-T6
-Hospital B
-B_ESCHR_COLI
-S
+2012-05-11
+J4
+Hospital C
+B_KLBSL_PNMN
+R
 S
 S
 S
-F
+M
 Gram-negative
-Escherichia
-coli
+Klebsiella
+pneumoniae
 TRUE
 
 
 4
-2016-12-13
-F1
-Hospital A
+2013-02-02
+U4
+Hospital B
 B_ESCHR_COLI
+R
+R
 S
 S
-S
-S
-M
+F
 Gram-negative
 Escherichia
 coli
 TRUE
 
 
-6
-2017-06-17
-K1
-Hospital B
+5
+2015-12-04
+S10
+Hospital A
 B_STRPT_PNMN
-R
-R
+S
+S
 S
 R
-M
+F
 Gram-positive
 Streptococcus
 pneumoniae
 TRUE
 
 
-8
-2011-02-20
-V8
-Hospital D
+6
+2016-09-17
+G2
+Hospital B
 B_ESCHR_COLI
+R
 S
 S
 S
-S
-F
+M
 Gram-negative
 Escherichia
 coli
 TRUE
 
 
-9
-2016-09-22
-D3
+7
+2012-06-30
+V5
 Hospital A
-B_STPHY_AURS
+B_ESCHR_COLI
+R
 R
 S
 S
-R
-M
-Gram-positive
-Staphylococcus
-aureus
+F
+Gram-negative
+Escherichia
+coli
 TRUE
 
 
@@ -976,8 +976,8 @@ Longest: 1

 

 
Frequency table

 
Class: character

-Length: 15,718

-Available: 15,718 (100%, NA: 0 = 0%)

+Length: 15,741

+Available: 15,741 (100%, NA: 0 = 0%)

 Unique: 4

 
Shortest: 16

 Longest: 24

@@ -994,33 +994,33 @@ Longest: 24

 
 1
 Escherichia coli
-7,841
-49.89%
-7,841
-49.89%
+7,868
+49.98%
+7,868
+49.98%
 
 
 2
 Staphylococcus aureus
-3,956
-25.17%
-11,797
-75.05%
+3,927
+24.95%
+11,795
+74.93%
 
 
 3
 Streptococcus pneumoniae
-2,346
-14.93%
-14,143
-89.98%
+2,394
+15.21%
+14,189
+90.14%
 
 
 4
 Klebsiella pneumoniae
-1,575
-10.02%
-15,718
+1,552
+9.86%
+15,741
 100.00%
 
 
@@ -1049,50 +1049,50 @@ Longest: 24

 
 E. coli
 AMX
-3793
-242
-3806
-7841
+3823
+237
+3808
+7868
 
 
 E. coli
 AMC
-6205
-301
-1335
-7841
+6210
+315
+1343
+7868
 
 
 E. coli
 CIP
-5980
+5984
 0
-1861
-7841
+1884
+7868
 
 
 E. coli
 GEN
-7075
+7078
 0
-766
-7841
+790
+7868
 
 
 K. pneumoniae
 AMX
 0
 0
-1575
-1575
+1552
+1552
 
 
 K. pneumoniae
 AMC
-1217
-77
-281
-1575
+1198
+63
+291
+1552
 
 
 
@@ -1117,34 +1117,34 @@ Longest: 24

 
 E. coli
 CIP
-5980
+5984
 0
-1861
-7841
+1884
+7868
 
 
 K. pneumoniae
 CIP
-1207
+1176
 0
-368
-1575
+376
+1552
 
 
 S. aureus
 CIP
-2971
+3037
 0
-985
-3956
+890
+3927
 
 
 S. pneumoniae
 CIP
-1790
+1852
 0
-556
-2346
+542
+2394
 
 
 
@@ -1157,7 +1157,7 @@ Longest: 24

 
As per the EUCAST guideline of 2019, we calculate resistance as the proportion of R (proportion_R(), equal to resistance()) and susceptibility as the proportion of S and I (proportion_SI(), equal to susceptibility()). These functions can be used on their own:

 
 data_1st %>% resistance(AMX)
-# [1] 0.5318107
+# [1] 0.531923
 

 
Or can be used in conjuction with group_by() and summarise(), both from the dplyr package:

 
@@ -1174,19 +1174,19 @@ Longest: 24

 
 
 Hospital A
-0.5401506
+0.5240989
 
 
 Hospital B
-0.5244014
+0.5326633
 
 
 Hospital C
-0.5256917
+0.5554161
 
 
 Hospital D
-0.5363864
+0.5248050
 
 
 
@@ -1207,23 +1207,23 @@ Longest: 24

 
 
 Hospital A
-0.5401506
-4782
+0.5240989
+4772
 
 
 Hospital B
-0.5244014
-5471
+0.5326633
+5373
 
 
 Hospital C
-0.5256917
-2277
+0.5554161
+2391
 
 
 Hospital D
-0.5363864
-3188
+0.5248050
+3205
 
 
 
@@ -1246,27 +1246,27 @@ Longest: 24

 
 
 Escherichia
-0.8297411
-0.9023084
-0.9858436
+0.8293086
+0.8995933
+0.9874174
 
 
 Klebsiella
-0.8215873
-0.9060317
-0.9879365
+0.8125000
+0.9085052
+0.9832474
 
 
 Staphylococcus
-0.8276036
-0.9160768
-0.9848332
+0.8245480
+0.9238605
+0.9870130
 
 
 Streptococcus
-0.5392157
+0.5459482
 0.0000000
-0.5392157
+0.5459482
 
 
 
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zPW;F9@Bh9);>!SowqxI~{M`!Mu1i9#>i^mds~q&4sHpnx>?bVnr>$wAQGD!F :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
diff --git a/docs/articles/EUCAST.html b/docs/articles/EUCAST.html
index f2d8dffe..78e08525 100644
--- a/docs/articles/EUCAST.html
+++ b/docs/articles/EUCAST.html
@@ -39,7 +39,7 @@
       
       
         AMR (for R)
-        1.3.0.9039
+        1.4.0
       
     

 
@@ -187,7 +187,7 @@
 
       
 
-      

+      

   

     

       
How to apply EUCAST rules

@@ -203,7 +203,7 @@
 

 

 Introduction

-
What are EUCAST rules? The European Committee on Antimicrobial Susceptibility Testing (EUCAST) states on their website:

+
What are EUCAST rules? The European Committee on Antimicrobial Susceptibility Testing (EUCAST) states on their website:

 

 
EUCAST expert rules are a tabulated collection of expert knowledge on intrinsic resistances, exceptional resistance phenotypes and interpretive rules that may be applied to antimicrobial susceptibility testing in order to reduce errors and make appropriate recommendations for reporting particular resistances.

 

diff --git a/docs/articles/EUCAST_files/header-attrs-2.3/header-attrs.js b/docs/articles/EUCAST_files/header-attrs-2.3/header-attrs.js
new file mode 100644
index 00000000..dd57d92e
--- /dev/null
+++ b/docs/articles/EUCAST_files/header-attrs-2.3/header-attrs.js
@@ -0,0 +1,12 @@
+// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
diff --git a/docs/articles/MDR.html b/docs/articles/MDR.html
index 27a1f163..07b19c45 100644
--- a/docs/articles/MDR.html
+++ b/docs/articles/MDR.html
@@ -187,7 +187,7 @@
 
       
 
-      

+      

   

     

       
How to determine multi-drug resistance (MDR)

@@ -218,7 +218,7 @@
 
 
  • 
 
    guideline = "EUCAST"
    
-
    The European international guideline - EUCAST Expert Rules Version 3.1 “Intrinsic Resistance and Exceptional Phenotypes Tables” (link)
    
+
    The European international guideline - EUCAST Expert Rules Version 3.1 “Intrinsic Resistance and Exceptional Phenotypes Tables” (link)
    
 
    • 
 
  • 
 
    guideline = "TB"
    
@@ -317,19 +317,19 @@ Unique: 2
    
 
     head(my_TB_data)
 #   rifampicin isoniazid gatifloxacin ethambutol pyrazinamide moxifloxacin
-# 1          I         R            S          R            R            S
-# 2          R         R            S          S            S            R
-# 3          S         S            R          S            S            S
-# 4          R         R            R          S            R            R
-# 5          S         R            S          R            R            S
-# 6          S         S            R          R            R            S
+# 1          R         S            S          R            S            I
+# 2          I         S            S          S            I            R
+# 3          R         R            R          R            R            R
+# 4          R         I            S          R            S            S
+# 5          S         S            I          S            S            R
+# 6          S         S            S          R            S            S
 #   kanamycin
-# 1         I
-# 2         R
+# 1         R
+# 2         S
 # 3         R
 # 4         R
-# 5         R
-# 6         S
+# 5         S
+# 6         R
 
    
 
    We can now add the interpretation of MDR-TB to our data set. You can use:
    
 
    @@ -363,40 +363,40 @@ Unique: 5
    
 
 1
 Mono-resistant
-3235
-64.70%
-3235
-64.70%
+3225
+64.50%
+3225
+64.50%
 
 
 2
 Negative
-657
-13.14%
-3892
-77.84%
+698
+13.96%
+3923
+78.46%
 
 
 3
 Multi-drug-resistant
-595
-11.90%
-4487
-89.74%
+581
+11.62%
+4504
+90.08%
 
 
 4
 Poly-resistant
-306
-6.12%
-4793
-95.86%
+298
+5.96%
+4802
+96.04%
 
 
 5
 Extensively drug-resistant
-207
-4.14%
+198
+3.96%
 5000
 100.00%
 
diff --git a/docs/articles/MDR_files/header-attrs-2.3/header-attrs.js b/docs/articles/MDR_files/header-attrs-2.3/header-attrs.js
new file mode 100644
index 00000000..dd57d92e
--- /dev/null
+++ b/docs/articles/MDR_files/header-attrs-2.3/header-attrs.js
@@ -0,0 +1,12 @@
+// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
diff --git a/docs/articles/PCA.html b/docs/articles/PCA.html
index 89603f74..8e55edd8 100644
--- a/docs/articles/PCA.html
+++ b/docs/articles/PCA.html
@@ -187,7 +187,7 @@
 
       
 
-      
    
+      
    
   
    
     
    
       
    How to conduct principal component analysis (PCA) for AMR
    
diff --git a/docs/articles/PCA_files/header-attrs-2.3/header-attrs.js b/docs/articles/PCA_files/header-attrs-2.3/header-attrs.js
new file mode 100644
index 00000000..dd57d92e
--- /dev/null
+++ b/docs/articles/PCA_files/header-attrs-2.3/header-attrs.js
@@ -0,0 +1,12 @@
+// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
diff --git a/docs/articles/SPSS.html b/docs/articles/SPSS.html
index b4a68eae..c2a11435 100644
--- a/docs/articles/SPSS.html
+++ b/docs/articles/SPSS.html
@@ -187,13 +187,13 @@
 
       
 
-      
    
+      
    
   
    
     
    
       
    How to import data from SPSS / SAS / Stata
    
                         
    Matthijs S. Berends
    
             
-            
    30 September 2020
    
+            
    08 October 2020
    
       
       Source: vignettes/SPSS.Rmd
       
diff --git a/docs/articles/SPSS_files/header-attrs-2.3/header-attrs.js b/docs/articles/SPSS_files/header-attrs-2.3/header-attrs.js
new file mode 100644
index 00000000..dd57d92e
--- /dev/null
+++ b/docs/articles/SPSS_files/header-attrs-2.3/header-attrs.js
@@ -0,0 +1,12 @@
+// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
diff --git a/docs/articles/WHONET.html b/docs/articles/WHONET.html
index 7fa0ff15..c2a7e97a 100644
--- a/docs/articles/WHONET.html
+++ b/docs/articles/WHONET.html
@@ -187,7 +187,7 @@
 
       
 
-      
    
+      
    
   
    
     
    
       
    How to work with WHONET data
    
diff --git a/docs/articles/WHONET_files/header-attrs-2.3/header-attrs.js b/docs/articles/WHONET_files/header-attrs-2.3/header-attrs.js
new file mode 100644
index 00000000..dd57d92e
--- /dev/null
+++ b/docs/articles/WHONET_files/header-attrs-2.3/header-attrs.js
@@ -0,0 +1,12 @@
+// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
diff --git a/docs/articles/benchmarks.html b/docs/articles/benchmarks.html
index 77b818f9..7e2ab536 100644
--- a/docs/articles/benchmarks.html
+++ b/docs/articles/benchmarks.html
@@ -187,7 +187,7 @@
 
       
 
-      
    
+      
    
   
    
     
    
       
    Benchmarks
    
@@ -288,34 +288,20 @@
 # Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.
 print(S.aureus, unit = "ms", signif = 2)
 # Unit: milliseconds
-#                                   expr   min    lq  mean median    uq    max
-#                           as.mo("sau")  13.0  14.0  15.0   14.0  16.0   17.0
-#                          as.mo("stau") 220.0 230.0 250.0  260.0 280.0  280.0
-#                          as.mo("STAU") 220.0 240.0 270.0  250.0 290.0  330.0
-#                        as.mo("staaur")  13.0  14.0  28.0   15.0  44.0   62.0
-#                        as.mo("STAAUR")  11.0  14.0  17.0   14.0  15.0   48.0
-#                     as.mo("S. aureus")  30.0  56.0  56.0   61.0  63.0   66.0
-#                      as.mo("S aureus")  28.0  33.0  48.0   38.0  66.0   77.0
-#         as.mo("Staphylococcus aureus")   1.7   1.9   2.4    2.5   2.6    3.1
-#  as.mo("Staphylococcus aureus (MRSA)") 860.0 890.0 920.0  910.0 930.0 1000.0
-#       as.mo("Sthafilokkockus aaureuz") 350.0 370.0 380.0  390.0 390.0  410.0
-#                          as.mo("MRSA")  13.0  15.0  28.0   18.0  42.0   61.0
-#                          as.mo("VISA")  21.0  22.0  31.0   22.0  43.0   52.0
-#                          as.mo("VRSA")  23.0  24.0  39.0   45.0  49.0   55.0
-#  neval
-#     10
-#     10
-#     10
-#     10
-#     10
-#     10
-#     10
-#     10
-#     10
-#     10
-#     10
-#     10
-#     10
+#                                   expr   min    lq  mean median    uq max neval
+#                           as.mo("sau")  11.0  12.0  25.0   13.0  14.0 130    10
+#                          as.mo("stau") 210.0 230.0 240.0  250.0 250.0 260    10
+#                          as.mo("STAU") 210.0 210.0 240.0  240.0 260.0 270    10
+#                        as.mo("staaur")  12.0  14.0  22.0   14.0  41.0  43    10
+#                        as.mo("STAAUR")  12.0  12.0  19.0   13.0  14.0  47    10
+#                     as.mo("S. aureus")  26.0  28.0  38.0   30.0  58.0  62    10
+#                      as.mo("S aureus")  28.0  29.0  45.0   52.0  56.0  60    10
+#         as.mo("Staphylococcus aureus")   2.1   2.2   7.9    2.4   2.6  32    10
+#  as.mo("Staphylococcus aureus (MRSA)") 840.0 880.0 890.0  890.0 890.0 930    10
+#       as.mo("Sthafilokkockus aaureuz") 340.0 370.0 390.0  390.0 410.0 490    10
+#                          as.mo("MRSA")  11.0  12.0  16.0   13.0  14.0  44    10
+#                          as.mo("VISA")  19.0  20.0  32.0   22.0  50.0  51    10
+#                          as.mo("VRSA")  18.0  22.0  24.0   22.0  23.0  46    10
 
    
 
    
 
    In the table above, all measurements are shown in milliseconds (thousands of seconds). A value of 5 milliseconds means it can determine 200 input values per second. It case of 100 milliseconds, this is only 10 input values per second. It is clear that accepted taxonomic names are extremely fast, but some variations can take up to 500-1000 times as much time.
    
@@ -345,10 +331,10 @@
                          times = 10)
 print(run_it, unit = "ms", signif = 3)
 # Unit: milliseconds
-#        expr  min  lq mean median  uq max neval
-#  mo_name(x) 99.2 127  145    143 145 243    10
+#        expr min  lq mean median  uq max neval
+#  mo_name(x) 131 161  200    168 187 341    10
    • -

    So getting official taxonomic names of 2,000,000 (!!) items consisting of 90 unique values only takes 0.143 seconds. You only lose time on your unique input values.

    +

    So getting official taxonomic names of 2,000,000 (!!) items consisting of 90 unique values only takes 0.168 seconds. You only lose time on your unique input values.

    @@ -372,11 +358,11 @@ print(run_it, unit = "ms", signif = 3) # Unit: milliseconds # expr min lq mean median uq max neval -# A 7.53 8.50 8.77 8.83 9.14 9.89 10 -# B 23.00 24.20 32.40 26.30 28.80 60.10 10 -# C 1.91 1.98 2.33 2.30 2.66 2.83 10 +# A 6.85 7.05 7.57 7.51 8.05 8.52 10 +# B 21.50 21.70 27.40 23.80 25.00 64.70 10 +# C 1.75 1.86 1.99 1.93 2.08 2.27 10

    -

    So going from mo_name("Staphylococcus aureus") to "Staphylococcus aureus" takes 0.0023 seconds - it doesn’t even start calculating if the result would be the same as the expected resulting value. That goes for all helper functions:

    +

    So going from mo_name("Staphylococcus aureus") to "Staphylococcus aureus" takes 0.0019 seconds - it doesn’t even start calculating if the result would be the same as the expected resulting value. That goes for all helper functions:

     run_it <- microbenchmark(A = mo_species("aureus"),
                          B = mo_genus("Staphylococcus"),
@@ -389,15 +375,15 @@
                          times = 10)
 print(run_it, unit = "ms", signif = 3)
 # Unit: milliseconds
-#  expr  min   lq mean median   uq   max neval
-#     A 1.55 1.74 1.91   1.98 2.06  2.16    10
-#     B 1.52 1.70 1.95   1.88 2.03  2.62    10
-#     C 1.61 1.68 6.25   2.04 2.18 44.80    10
-#     D 1.65 1.71 1.92   1.95 2.02  2.22    10
-#     E 1.56 1.79 1.92   1.99 2.01  2.14    10
-#     F 1.62 1.67 1.82   1.78 1.94  2.09    10
-#     G 1.61 1.70 1.92   1.97 2.01  2.31    10
-#     H 1.62 1.69 1.83   1.87 1.95  2.01    10
+#  expr  min   lq mean median   uq  max neval
+#     A 1.38 1.57 1.60   1.61 1.67 1.71    10
+#     B 1.55 1.60 1.73   1.63 1.92 2.05    10
+#     C 1.39 1.50 1.70   1.62 1.84 2.39    10
+#     D 1.32 1.51 1.59   1.57 1.61 2.04    10
+#     E 1.34 1.40 1.52   1.53 1.65 1.66    10
+#     F 1.28 1.53 1.56   1.60 1.66 1.72    10
+#     G 1.30 1.33 1.59   1.61 1.74 1.98    10
+#     H 1.31 1.45 1.62   1.55 1.70 2.46    10

    Of course, when running mo_phylum("Firmicutes") the function has zero knowledge about the actual microorganism, namely S. aureus. But since the result would be "Firmicutes" anyway, there is no point in calculating the result. And because this package ‘knows’ all phyla of all known bacteria (according to the Catalogue of Life), it can just return the initial value immediately.

    @@ -425,14 +411,14 @@ times = 100) print(run_it, unit = "ms", signif = 4) # Unit: milliseconds -# expr min lq mean median uq max neval -# en 13.92 14.62 19.73 15.07 17.06 71.77 100 -# de 16.83 17.63 22.19 18.10 20.41 58.61 100 -# nl 28.71 30.05 35.19 31.64 34.09 69.34 100 -# es 16.78 17.61 22.57 18.56 20.21 57.98 100 -# it 16.61 17.39 21.59 18.32 20.74 56.86 100 -# fr 16.48 17.31 21.96 17.84 20.26 55.84 100 -# pt 16.66 17.45 24.03 18.26 20.85 67.60 100 +# expr min lq mean median uq max neval +# en 14.00 14.36 18.52 14.64 15.18 57.58 100 +# de 17.04 17.33 20.94 17.63 18.49 56.23 100 +# nl 28.21 29.20 32.15 30.06 31.02 72.91 100 +# es 16.85 17.26 19.83 17.44 17.95 152.20 100 +# it 16.58 17.10 19.03 17.43 18.24 54.28 100 +# fr 16.71 17.20 21.24 17.52 19.02 63.25 100 +# pt 16.76 17.29 23.27 17.62 19.14 65.28 100

    Currently supported are German, Dutch, Spanish, Italian, French and Portuguese.

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index 00000000..dd57d92e --- /dev/null +++ b/docs/articles/benchmarks_files/header-attrs-2.3/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/articles/datasets.html b/docs/articles/datasets.html index 53ce4953..43f03b0c 100644 --- a/docs/articles/datasets.html +++ b/docs/articles/datasets.html @@ -187,7 +187,7 @@ -
    +

    Data sets for download / own use

    @@ -662,7 +662,7 @@ If you are reading this page from within R, please     Antiviral agents

    A data set with 102 rows and 9 columns, containing the following column names:
    ‘atc’, ‘cid’, ‘name’, ‘atc_group’, ‘synonyms’, ‘oral_ddd’, ‘oral_units’, ‘iv_ddd’, ‘iv_units’.

    This data set is in R available as antivirals, after you load the AMR package.

    -

    It was last updated on 29 August 2020 21:53:07 CEST. Find more info about the structure of this data set here.

    +

    It was last updated on 29 August 2020 21:53:07 CEST. Find more info about the structure of this data set here.

    Direct download links:

    • Download as R file (5 kB)
      diff --git a/docs/articles/datasets_files/header-attrs-2.3/header-attrs.js b/docs/articles/datasets_files/header-attrs-2.3/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/articles/datasets_files/header-attrs-2.3/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/articles/index.html b/docs/articles/index.html index 7e90191e..94875c31 100644 --- a/docs/articles/index.html +++ b/docs/articles/index.html @@ -81,7 +81,7 @@ AMR (for R) - 1.3.0.9039 + 1.4.0
    diff --git a/docs/articles/resistance_predict.html b/docs/articles/resistance_predict.html index 266526e9..204a89e6 100644 --- a/docs/articles/resistance_predict.html +++ b/docs/articles/resistance_predict.html @@ -187,7 +187,7 @@ -
    +

    How to predict antimicrobial resistance

    diff --git a/docs/articles/resistance_predict_files/header-attrs-2.3/header-attrs.js b/docs/articles/resistance_predict_files/header-attrs-2.3/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/articles/resistance_predict_files/header-attrs-2.3/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/articles/welcome_to_AMR.html b/docs/articles/welcome_to_AMR.html index d71c70c7..afb92eec 100644 --- a/docs/articles/welcome_to_AMR.html +++ b/docs/articles/welcome_to_AMR.html @@ -187,7 +187,7 @@ -
    +

    Welcome to the AMR package

    diff --git a/docs/articles/welcome_to_AMR_files/header-attrs-2.3/header-attrs.js b/docs/articles/welcome_to_AMR_files/header-attrs-2.3/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/articles/welcome_to_AMR_files/header-attrs-2.3/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/authors.html b/docs/authors.html index 533d364d..7b9519ae 100644 --- a/docs/authors.html +++ b/docs/authors.html @@ -81,7 +81,7 @@ AMR (for R) - 1.3.0.9039 + 1.4.0
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