scale_to

Rescales <code>x</code> such that for the rescaled data it holds: <code>mean(scale_to(x, mean=target))==target</code> and
<code>sd(scale_to(x, sd=target)==abs(target)</code>. A negative value of <code>sd</code> will change the sign of the <code>x</code> values.

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

scale_to function

<dl><dt>x</dt>
<dd>numeric: vector of values</dd>
<dt>mean</dt>
<dd>numeric: mean of the rescaled <code>x</code> (default: <code>0</code>)</dd>
<dt>sd</dt>
<dd>numeric: standard deviation of the transformed <code>x</code> (default: <code>1</code>)</dd></dl>

Arguments

Rescaling — scale_to

<dl>

<dt>x</dt>
<dd>numeric: vector of values</dd>


<dt>mean</dt>
<dd>numeric: mean of the rescaled <code>x</code> (default: <code>0</code>)</dd>


<dt>sd</dt>
<dd>numeric: standard deviation of the transformed <code>x</code> (default: <code>1</code>)</dd>

</dl>

scale_to: Rescaling

Description

Usage

Value

Arguments

Examples