TestGardener: Optimal Analysis of Test and Rating Scale Data

Develop, evaluate, and score multiple choice examinations, psychological scales, questionnaires, and similar types of data involving sequences of choices among one or more sets of answers. Using the package does not require any formal statistical knowledge beyond what would be provided by a first course in statistics in a social science department. There the user would encounter the concept of probability and how it is used to model data and make decisions, and would become familiar with basic mathematical and statistical notation. The essential aspects of each display were designed to be self-explanatory, although more statistically sophisticated users will also find information that they may find helpful. Most of the output is in graphical form. Two recent papers on the methodology are Ramsay, James; Li, Juan; Wiberg, Marie (2020) <doi:10.3390/psych2040026> and Ramsay, James; Wiberg, Marie; Li, Juan (2019) <doi:10.3102/1076998619885636>.

Version: 0.1.4
Depends: R (≥ 3.5), fda, ggplot2, rgl, knitr, rmarkdown
Imports: dplyr, ggpubr, stringr, tidyr, pracma, utf8
Published: 2021-04-19
Author: James Ramsay [aut,cre], Juan Li [aut,cre]
Maintainer: James Ramsay <james.ramsay at mcgill.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Language: en-US
CRAN checks: TestGardener results


Reference manual: TestGardener.pdf
Vignettes: Symptom Distress Analysis
SweSAT Short Quantitative Analysis
Package source: TestGardener_0.1.4.tar.gz
Windows binaries: r-devel: TestGardener_0.1.4.zip, r-release: TestGardener_0.1.4.zip, r-oldrel: TestGardener_0.1.4.zip
macOS binaries: r-release: TestGardener_0.1.4.tgz, r-oldrel: TestGardener_0.1.4.tgz


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