histx

gen_mid

dhistx

Given the breaks and the number of observations, a data set is generated with <code><a href="/link/stats%3A%3Arunif()?package=exams.forge&version=1.0.10" data-mini-rdoc="exams.forge::stats::runif()">stats::runif()</a></code>, using
the class mids: \(x_i = class\_mid_j + alpha*class\_width_j/2\). The default <code>alpha=0.99</code> ensures that
generated observations do not lie on the class borders.

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

histx function

<dl><dt>breaks</dt>
<dd>numeric: class borders</dd>
<dt>n</dt>
<dd>numeric: number of observations in each class</dd>
<dt>alpha</dt>
<dd>numeric: how far the generated observations can be away from the class mids (default: <code>0.99</code>)</dd></dl>

Arguments

Given the breaks and the number of observations, a data set is generated with <code><a href='https://rdrr.io/r/stats/Uniform.html'>stats::runif()</a></code>, using
the class mids: \(x_i = class\_mid_j + alpha*class\_width_j/2\). The default <code>alpha=0.99</code> ensures that
generated observations do not lie on the class borders.

Midpoint-Based Data Creation for a Histogram — histx

<dl>

<dt>breaks</dt>
<dd>numeric: class borders</dd>


<dt>n</dt>
<dd>numeric: number of observations in each class</dd>


<dt>alpha</dt>
<dd>numeric: how far the generated observations can be away from the class mids (default: <code>0.99</code>)</dd>

</dl>

histx: Midpoint-Based Data Creation for a Histogram

Description

Usage

Value

Arguments

Examples