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<h1>GerNameR</h1> <p>Collection of names and associations to names for German</p> <ul> <li>NOTE: Please make sure that you download install this package directly from github to ensure you have the most up to date version. Copies on OSF are provided for convenience when browsing the complete set files used for this research and may not be in sync with the versions on github.</li> </ul> <h2>Usage</h2> <p>See <a href="https://osf.io/cu56n/" rel="nofollow">https://osf.io/cu56n/</a> for a complete documentation of the package.</p> <h3>Installation</h3> <p>The software can be installed directly from github using the devtools package. Just type</p> <pre class="highlight"><code class="language-R">devtools::install_github(&quot;aggloeckner/GerNameR&quot;)</code></pre> <p>at the R prompt to install the software. If you don't have devtools installed currently, please install the devtools package via the command</p> <pre class="highlight"><code class="language-R">install.packages(&quot;devtools&quot;)</code></pre> <h3>Selecting Names</h3> <p>Names can be selected and grouped using a variety of commands. The simples method is to filter based on attributes. You can use the method "filter.names()" for this. E.g. </p> <pre class="highlight"><code class="language-R">filter.names(Intelligence &gt; 0.8)</code></pre> <p>will select all names where Intelligence is above the 80th percentile.</p> <h3>Grouping names</h3> <p>To create stimulus materials it is often necesary to group names into pairs of most similar names. To do this, select sets to be paired (if you do not have any criterion to split the names on, e.g. to compare male and female names, you can select random sets) and perform the grouping using "match.split()". E.g.</p> <pre class="highlight"><code># Create a split based on Sex s &lt;- partition.names(Sex) # Match pairs of male and female names m &lt;- match.split( s )</code></pre> <p>will create two groups of male and female names and then create pairs of names with each pair consisting of one male and one female name.</p>
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