uwIntroStats: Descriptive Statistics, Inference, Regression, and Plotting in an Introductory Statistics Course

A set of tools designed to facilitate easy adoption of R for students in introductory classes with little programming experience. Compiles output from existing routines together in an intuitive format, and adds functionality to existing functions. For instance, the regression function can perform linear models, generalized linear models, Cox models, or generalized estimating equations. The user can also specify multiple-partial F-tests to print out with the model coefficients. We also give many routines for descriptive statistics and plotting.

Version: 0.0.3
Imports: Exact, geepack, plyr, survival, sandwich
Suggests: knitr, rmarkdown
Published: 2016-09-22
Author: Scott S. Emerson [aut], Andrew J. Spieker [aut], Brian D. Williamson [aut], Travis Y. Hee Wai [aut, cre], Solomon Lim [aut], R Core Team [ctb], Terry M Therneu [ctb], Thomas Lumley [ctb]
Maintainer: Travis Y. Hee Wai <theewai at uw.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: uwIntroStats results


Reference manual: uwIntroStats.pdf
Vignettes: Regression in uwIntroStats
Using uwIntroStats
Multiple-Partial F-tests in Regression
Package source: uwIntroStats_0.0.3.tar.gz
Windows binaries: r-devel: uwIntroStats_0.0.3.zip, r-release: uwIntroStats_0.0.3.zip, r-oldrel: uwIntroStats_0.0.3.zip
OS X Mavericks binaries: r-release: uwIntroStats_0.0.3.tgz, r-oldrel: uwIntroStats_0.0.3.tgz


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