International Journal of Soft Computing

121
Views

0
Downloads

Using Sweave and Random Number Generation to Create a Multitude of Statistical Examples for the Enhancement of Teaching Materials

Arthur L. Dryver
Page: 318-321 | Received 21 Sep 2022, Published online: 21 Sep 2022

By Research Area

Medicine & Public Health Life Sciences Engineering Mathematics Biomedicine Physics Chemistry Computer Science Earth Sciences Social Sciences Business and Management Psychology Materials Science Economics Education Environment Philosophy Statistics Law Political Science and International Relations Pharmacy Dentistry Energy Linguistics Geography Finance Criminology and Criminal Justice Medicine Cultural and Media Studies History Architecture / Design Literature Biomedical Sciences Religious Studies Education & Language Food Science & Nutrition Public Health

By Volume and Issue

Abstract

The function Sweave allows an R user to create LATEX code within R. Most studies discussing Sweave cover how to use Sweave for updating LATEX code within R for a single example. There is a R package called exams which allows teachers to create unique exams for students. There has been little research however, on how to leverage the function Sweave and other basic commands in R in order to easily offer students a virtually unlimited supply of statistical example problems to study from within a single PDF file. This study covers how to create a multitude of examples for each problem type covered in a statistical class.

How to cite this article:

Arthur L. Dryver. Using Sweave and Random Number Generation to Create a Multitude of Statistical Examples for the Enhancement of Teaching Materials.
DOI: https://doi.org/10.36478/ijscomp.2017.318.321
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2017.318.321