<spanclass="version label label-default"data-toggle="tooltip"data-placement="bottom"title="Latest development version">1.5.0.9008</span>
<spanclass="version label label-default"data-toggle="tooltip"data-placement="bottom"title="Latest development version">1.5.0.9009</span>
</span>
</div>
@ -262,6 +262,18 @@
<th>cols_ab</th>
<td><p>a character vector of column names of <code>x</code>, or (a combination with) an <ahref='[ab_class()]'>antibiotic selector function</a>, such as <code><ahref='antibiotic_class_selectors.html'>carbapenems()</a></code> and <code><ahref='antibiotic_class_selectors.html'>aminoglycosides()</a></code></p></td>
</tr>
<tr>
<th>target</th>
<td><p><spanstyle="R">R</span> object.</p></td>
</tr>
<tr>
<th>current</th>
<td><p>other <spanstyle="R">R</span> object, to be compared with <code>target</code>.</p></td>
</tr>
<tr>
<th>ignore_empty_results</th>
<td><p>a logical to indicate whether empty results must be ignored, so that only values R, S and I will be compared</p></td>
</tr>
<tr>
<th>...</th>
<td><p>column name of an antibiotic, see section <em>Antibiotics</em> below</p></td>
\item{cols_ab}{a character vector of column names of \code{x}, or (a combination with) an \href{[ab_class()]}{antibiotic selector function}, such as \code{\link[=carbapenems]{carbapenems()}} and \code{\link[=aminoglycosides]{aminoglycosides()}}}
\item{target}{\R object.}
\item{current}{other \R object, to be compared with \code{target}.}
\item{ignore_empty_results}{a logical to indicate whether empty results must be ignored, so that only values R, S and I will be compared}
\item{...}{column name of an antibiotic, see section \emph{Antibiotics} below}
@ -49,7 +49,7 @@ As said, SPSS is easier to learn than R. But SPSS, SAS and Stata come with major
* **R has a huge community.**
Many R users just ask questions on websites like [StackOverflow.com](https://stackoverflow.com), the largest online community for programmers. At the time of writing, [`r format(suppressWarnings(readr::read_csv("https://data.stackexchange.com/stackoverflow/csv/1674647", col_types = "d")[[1]]), big.mark = ",")` R-related questions](https://stackoverflow.com/questions/tagged/r?sort=votes) have already been asked on this platform (that covers questions and answers for any programming language). In my own experience, most questions are answered within a couple of minutes.
Many R users just ask questions on websites like [StackOverflow.com](https://stackoverflow.com), the largest online community for programmers. At the time of writing, [`r format(suppressWarnings(read.csv("https://data.stackexchange.com/stackoverflow/csv/1674647", quote = '"'))[[1]], big.mark = ",")` R-related questions](https://stackoverflow.com/questions/tagged/r?sort=votes) have already been asked on this platform (that covers questions and answers for any programming language). In my own experience, most questions are answered within a couple of minutes.
* **R understands any data type, including SPSS/SAS/Stata.**