This package consists 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 attached. R Studio is freely available (www.rstudio.org), and includes package manipulate. Other instructional applets are Shiny apps that may be run locally. In teaching the package is used alongside of package mosaic, which is therefore listed as a dependency.
| Version: | 0.2 |
| Depends: | R (≥ 2.10), mosaic, mosaicData, abd |
| Imports: | MASS, ggplot2, lattice |
| Suggests: | shiny, knitr |
| Published: | 2014-12-03 |
| 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.tar.gz |
| Windows binaries: | r-devel: tigerstats_0.2.zip, r-release: tigerstats_0.2.zip, r-oldrel: tigerstats_0.2.zip |
| OS X Snow Leopard binaries: | r-release: tigerstats_0.2.tgz, r-oldrel: tigerstats_0.2.tgz |
| OS X Mavericks binaries: | r-release: tigerstats_0.2.tgz |
| Old sources: | tigerstats archive |