tigerstats: R Functions for Elementary Statistics

A collection of data sets and functions that are useful in the teaching of statistics at an elementary level to students who may have little or no previous experience with the command line. The functions for elementary inferential procedures follow a uniform interface for user input. Some of the functions are instructional applets that can only be run on the R Studio integrated development environment with package 'manipulate' installed. Other instructional applets are Shiny apps that may be run locally. In teaching the package is used alongside of package 'mosaic', 'mosaicData' and 'abd', which are therefore listed as dependencies.

Version: 0.2.7
Depends: R (≥ 2.10), abd, mosaic, mosaicData
Imports: ggplot2, lattice, manipulate, MASS, methods
Suggests: knitr, shiny, shinyjs
Published: 2015-09-23
Author: Rebekah Robinson and Homer White
Maintainer: Homer White <hwhite0 at georgetowncollege.edu>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: tigerstats results


Reference manual: tigerstats.pdf
Vignettes: R: Descriptive Statistics
R: Inferential Statistics
Using barchartGC()
Using binomtestGC()
Using lattice's bwplot()
Using chisqtestGC()
Using lattice's densityplot()
Using mosaic's favstats()
Using lattice's histogram()
Teaching with Tigerstats
Using lmGC(), predict() and plot()
Using pbinomGC()
Using pnormGC()
Using polyfitGC(), predict() and plot()
Using proptestGC()
Using qnorm()
Using qnormGC()
Using ttestGC()
Using xtabs() and rowPerc()
Using lattice's xyplot()
Package source: tigerstats_0.2.7.tar.gz
Windows binaries: r-devel: tigerstats_0.2.7.zip, r-release: tigerstats_0.2.7.zip, r-oldrel: tigerstats_0.2.7.zip
OS X Mavericks binaries: r-release: tigerstats_0.2.7.tgz, r-oldrel: tigerstats_0.2.7.tgz
Old sources: tigerstats archive


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