This is an R package used in our Introduction to Statistics (STAT 216) and Intermediate Statistics with Introduction to Statistical Computing (STAT 337) courses at Montana State University. Currently, it is only available on GitHub.
This package contains interactive vignettes, code, and data sets to support STAT 216 and STAT 337 at Montana State University and is publicly available for others to use.
Our set of simulation-based inference (SBI) R functions mimic the output of online applets such as those found at www.rossmanchance.com/applets/, performing permutation/randomization tests and percentile bootstrapped confidence intervals:
| Parameter | Simulation-based Test | Bootstrap CI |
|---|---|---|
| Single proportion | one_proportion_test |
one_proportion_bootstrap_CI |
| Difference in two proportions | two_proportion_test |
two_proportion_bootstrap_CI |
| Single mean | one_mean_test |
one_mean_bootstrap_CI |
| Paired mean difference | paired_test |
paired_bootstrap_CI |
| Difference in two means | two_mean_test |
two_mean_bootstrap_CI |
| Regression slope or correlation | regression_test |
regression_boostrap_CI |
You must install the remotes package first.
install.packages("remotes")
Then, use install_github to install this package.
remotes::install_github("greenwood-stat/catstats")
STAT 216 and STAT 337 both use open source textbooks and resources hosted on Github:
- Montana State Introductory Statistics with R by Stacey Hancock, Nicole Carnegie, Elijah Meyer, Jade Schmidt, and Melinda Yager (Github repository)
- Intermediate Statistics with R by Mark Greenwood (Github repository)