* When warnings are throws because of too few isolates in any `count_*()`, `proportion_*()` function (or `resistant()` or `susceptible()`), the `dplyr` group will be shown, if available
* Taxonomic names now print in italic in tibbles, if created with `mo_name()`, `mo_fullname()`, `mo_shortname()`, `mo_genus()` or `mo_family()`
* `ab_name()` gained argument `snake_case`, which is useful for column renaming
* Fix for legends created with `scale_rsi_colours()` when using `ggplot2` v3.3.4 or higher (this is `ggplot2` bug #4511, soon to be fixed)
* Fix for legends created with `scale_rsi_colours()` when using `ggplot2` v3.3.4 or higher (this is bug ggplot2#4511, soon to be fixed)
@ -17,8 +17,8 @@ unknown species TRUE TRUE FALSE TRUE unbekannte Art onbekende soort especie desc
@@ -17,8 +17,8 @@ unknown species TRUE TRUE FALSE TRUE unbekannte Art onbekende soort especie desc
<codeclass="sourceCode R"><spanclass="fu"><ahref="https://rdrr.io/r/utils/install.packages.html">install.packages</a></span><spanclass="op">(</span><spanclass="st">"remotes"</span><spanclass="op">)</span><spanclass="co"># if you haven't already</span>
<p>From the <ahref="https://ropensci.org/r-universe/">rOpenSci R-universe platform</a>, by adding <ahref="https://msberends.r-universe.dev">our R-universe address</a> to your list of repositories (‘repos’):</p>
<p>Automatically, using the <ahref="https://ropensci.org/r-universe/">rOpenSci R-universe platform</a>, by adding <ahref="https://msberends.r-universe.dev">our R-universe address</a> to your list of repositories (‘repos’):</p>
<p>To find out how to conduct AMR data analysis, please <ahref="./articles/AMR.html">continue reading here to get started</a> or click the links in the ‘How to’ menu.</p>
<p>To find out how to conduct AMR data analysis, please <ahref="./articles/AMR.html">continue reading here to get started</a> or click a link in the <ahref="https://msberends.github.io/AMR/articles/">‘How to’ menu</a>.</p>
<ahref="#last-updated-8-july-2021"class="anchor"></a><small>Last updated: 8 July 2021</small>
<ahref="#last-updated-11-july-2021"class="anchor"></a><small>Last updated: 11 July 2021</small>
</h2>
<divid="changed"class="section level3">
<h3class="hasAnchor">
@ -273,7 +273,8 @@
@@ -273,7 +273,8 @@
</li>
<li>
<code><ahref="../reference/ab_property.html">ab_name()</a></code> gained argument <code>snake_case</code>, which is useful for column renaming</li>
<li>Fix for legends created with <code><ahref="../reference/ggplot_rsi.html">scale_rsi_colours()</a></code> when using <code>ggplot2</code> v3.3.4 or higher (this is <code>ggplot2</code> bug <ahref='https://github.com/msberends/AMR/issues/4511'>#4511</a>, soon to be fixed)</li>
<li>Fix for legends created with <code><ahref="../reference/ggplot_rsi.html">scale_rsi_colours()</a></code> when using <code>ggplot2</code> v3.3.4 or higher (this is bug ggplot2<ahref='https://github.com/msberends/AMR/issues/4511'>#4511</a>, soon to be fixed)</li>
@ -110,30 +110,33 @@ It will be downloaded and installed automatically. For RStudio, click on the men
@@ -110,30 +110,33 @@ It will be downloaded and installed automatically. For RStudio, click on the men
The latest and unpublished development version can be installed from GitHub in two ways:
1. Directly, using:
1. Manually, using:
```r
install.packages("remotes") # if you haven't already
remotes::install_github("msberends/AMR")
```
2. From the [rOpenSci R-universe platform](https://ropensci.org/r-universe/), by adding [our R-universe address](https://msberends.r-universe.dev) to your list of repositories ('repos'):
2. Automatically, using the [rOpenSci R-universe platform](https://ropensci.org/r-universe/), by adding [our R-universe address](https://msberends.r-universe.dev) to your list of repositories ('repos'):
```r
options(repos = c(getOption("repos"),
msberends = "https://msberends.r-universe.dev"))
```
After this, you can install and update this `AMR` package like any official release (e.g., using `install.packages("AMR")` or in RStudio via *Tools* > *Check for Package Updates...*).
You can also download the latest build from our repository: <https://github.com/msberends/AMR/raw/master/data-raw/AMR_latest.tar.gz>
### Get started
To find out how to conduct AMR data analysis, please [continue reading here to get started](./articles/AMR.html) or click the links in the 'How to' menu.
To find out how to conduct AMR data analysis, please [continue reading here to get started](./articles/AMR.html) or click a link in the ['How to' menu](https://msberends.github.io/AMR/articles/).