sos100

sos200

sos400

sos800

sos1000

<p>Five data matrices with precomputed results from <code>sumofsquares(n, 10, zerosum=TRUE, maxt=Inf)</code> for
<code>n=100</code>, <code>n=200</code>, <code>n=400</code>,<code>n=800</code>, and <code>n=1000</code>.</p>

datasets

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

sos100 function

<p>For each line of a matrix it holds \(\sum_{i=1}^k x_i^2=n\) and \(\sum_{i=1}^k x_i=0\).
It contains all integer solutions up to <code>k&lt;=10</code>. <code>NA</code> means that this entry is not used.</p>

Format

Precomputed Sum of Squared Data — sos100

Precomputed Sum of Squared Data

sos100: Precomputed Sum of Squared Data

Description

Usage

Arguments

Format

Examples