README.md
In ESunRoc/STT218: University of Rochester Statistics 218 Functions
UofR STT 218: Introduction to Categorical Data Analysis
The package takes all of the functions that Dr. Ciminelli has created for the purposes of STT 218, and concatenates them into a single package. Rather than download and source in all of the files separately, they are now all included in a single, easy to install, package. Included herein are the following (subject to increase as new functions are introduced in class): Linear trend, relative risk, odds ratios, and local odds ratios.
Additionally, all required packages for the course are installed and loaded along with URStat218. The included packages are: stats, reshape, ggplot2, pROC, vcdExtra, nnet, MASS, ResourceSelection, BradleyTerry2, and irr. Though all of these packages are loaded, some may go unused in either large portions, or their entirety.
Installation
You can install URStat218 from GitHub with the following code in R or RStudio:
install.packages("devtools")
devtools::install.github("ESunRoc/STT218")
ESunRoc/STT218 documentation built on Jan. 14, 2020, 2:39 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
UofR STT 218: Introduction to Categorical Data Analysis
The package takes all of the functions that Dr. Ciminelli has created for the purposes of STT 218, and concatenates them into a single package. Rather than download and source in all of the files separately, they are now all included in a single, easy to install, package. Included herein are the following (subject to increase as new functions are introduced in class): Linear trend, relative risk, odds ratios, and local odds ratios.
Additionally, all required packages for the course are installed and loaded along with URStat218. The included packages are: stats, reshape, ggplot2, pROC, vcdExtra, nnet, MASS, ResourceSelection, BradleyTerry2, and irr. Though all of these packages are loaded, some may go unused in either large portions, or their entirety.
Installation
You can install URStat218 from GitHub with the following code in R or RStudio:
install.packages("devtools")
devtools::install.github("ESunRoc/STT218")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.