means_choice

means

Computes the means of <code>x</code>. The list returned has an attribute <code>"mindiff"</code> which contains
the smallest distance between two mean values before rounding.
If <code>winsor</code> and/or <code>trim</code> is set to <code>NA</code> then the trimmed and/or winsorized means are not computed.
Currently implemented are:<dl>
<dt><code>mean</code></dt>
<dd>arithmetic mean</dd><dt><code>median</code></dt>
<dd>median</dd><dt><code>harmonic</code></dt>
<dd>harmonic mean</dd><dt><code>geometric</code></dt>
<dd>geometric mean</dd><dt><code>mode</code></dt>
<dd>(first) mode</dd><dt><code>trim</code></dt>
<dd>trimmed mean</dd><dt><code>winsor</code></dt>
<dd>winsorized mean</dd>
</dl>

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

means_choice function

<dl><dt>x</dt>
<dd>numeric: data values</dd>
<dt>digits</dt>
<dd>numeric: integer indicating the number of decimal points for rounding (negative values are allowed)</dd>
<dt>na.rm</dt>
<dd>logical: should <code>NA</code>s be removed before?</dd>
<dt>trim</dt>
<dd>numeric: the fraction (0 to 0.5) of observations to be trimmed from each end of <code>x</code></dd>
<dt>winsor</dt>
<dd>numeric: the fraction (0 to 0.5) of observations to be moved from each end of <code>x</code></dd></dl>

Arguments

Computes the means of <code>x</code>. The list returned has an attribute <code>"mindiff"</code> which contains
the smallest distance between two mean values before rounding.
If <code>winsor</code> and/or <code>trim</code> is set to <code>NA</code> then the trimmed and/or winsorized means are not computed.
Currently implemented are:<dl>
<dt><code>mean</code></dt>
<dd>arithmetic mean</dd>

<dt><code>median</code></dt>
<dd>median</dd>

<dt><code>harmonic</code></dt>
<dd>harmonic mean</dd>

<dt><code>geometric</code></dt>
<dd>geometric mean</dd>

<dt><code>mode</code></dt>
<dd>(first) mode</dd>

<dt><code>trim</code></dt>
<dd>trimmed mean</dd>

<dt><code>winsor</code></dt>
<dd>winsorized mean</dd>


</dl>

Means — means_choice

<dl>

<dt>x</dt>
<dd>numeric: data values</dd>


<dt>digits</dt>
<dd>numeric: integer indicating the number of decimal points for rounding (negative values are allowed)</dd>


<dt>na.rm</dt>
<dd>logical: should <code>NA</code>s be removed before?</dd>


<dt>trim</dt>
<dd>numeric: the fraction (0 to 0.5) of observations to be trimmed from each end of <code>x</code></dd>


<dt>winsor</dt>
<dd>numeric: the fraction (0 to 0.5) of observations to be moved from each end of <code>x</code></dd>

</dl>

means_choice: Means

Description

Usage

Value

Arguments

Examples