nom.cc

cc_coef

cramer_vf

cramer_coef

kendall_corr

spearman_corr

rs_corr

nom.cramer

ord.spearman

ord.kendall

Computation of the following association and correlation measures:<ul>
<li><code>nom.cc</code> (corrected) contingency coefficient</li>
<li><code>nom.cramer</code> Cramer's V or Phi</li>
<li><code>ord.spearman</code> Spearman's rank correlation</li>
<li><code>ord.kendall</code> Kendall's rank correlation</li>
</ul>

The main aim is to further facilitate the creation of exercises based on the package 'exams'
by Grün, B., and Zeileis, A. (2009) <doi:10.18637/jss.v029.i10>. Creating effective student exercises
involves challenges such as creating appropriate data sets and ensuring access to intermediate values
for accurate explanation of solutions. The functionality includes the generation of univariate and
bivariate data including simple time series, functions for theoretical distributions and their approximation,
statistical and mathematical calculations for tasks in basic statistics courses as well as general tasks
such as string manipulation, LaTeX/HTML formatting and the editing of XML task files for 'Moodle'.

Sigbert Klinke

exams.forge

Support for Compiling Examination Tasks using the 'exams'
Package

nom.cc function

<dl><dt>tab</dt>
<dd>table: contingency table with absolute frequencies</dd>
<dt>correct</dt>
<dd>logical: if a correction should be applied (default: <code>FALSE</code>)</dd>
<dt>...</dt>
<dd>further parameters</dd></dl>

Arguments

Association and Correlation — nom.cc

<dl>

<dt>tab</dt>
<dd>table: contingency table with absolute frequencies</dd>


<dt>correct</dt>
<dd>logical: if a correction should be applied (default: <code>FALSE</code>)</dd>


<dt>...</dt>
<dd>further parameters</dd>

</dl>

Association and Correlation

nom.cc: Association and Correlation

Description

Usage

Value

Arguments

Examples