Automatic Generation of Exams in R
AbstractPackage exams provides a framework for automatic generation of standardized statistical exams which is especially useful for large-scale exams. To employ the tools, users just need to supply a pool of exercises and a master file controlling the layout of the final PDF document. The exercises are specified in separate Sweave files (containing R code for data generation and LaTeX code for problem and solution description) and the master file is a LaTeX document with some additional control commands. This paper gives an overview of the main design aims and principles as well as strategies for adaptation and extension. Hands-on illustrations---based on example exercises and control files provided in the package---are presented to get new users started easily.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by American Statistical Association in its journal Journal of Statistical Software.
Volume (Year): 29 ()
Issue (Month): i10 ()
Contact details of provider:
Web page: http://www.jstatsoft.org/
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Arthur Dryver, . "The Enhancement of Teaching Materials for Applied Statistics Courses by Combining Random Number Generation and Portable Document Format Files via LaTeX," Journal of Statistical Software, American Statistical Association, vol. 31(c03).
- Gerlinde Dinges & Alexander Kowarik & Bernhard Meindl & Matthias Templ, . "An Open Source Approach for Modern Teaching Methods: The Interactive TGUI System," Journal of Statistical Software, American Statistical Association, vol. 39(i07).
- Achim Zeileis & Nikolaus Umlauf & Friedrich Leisch, 2012. "Flexible Generation of E-Learning Exams in R: Moodle Quizzes, OLAT Assessments, and Beyond," Working Papers 2012-27, Faculty of Economics and Statistics, University of Innsbruck.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum).
If references are entirely missing, you can add them using this form.