https://github.com/statdivlab/rigr
Regression, Inference, and General Data Analysis Tools for R
https://github.com/statdivlab/rigr
regression statistics
Last synced: 4 months ago
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Regression, Inference, and General Data Analysis Tools for R
- Host: GitHub
- URL: https://github.com/statdivlab/rigr
- Owner: statdivlab
- License: other
- Created: 2021-04-06T07:12:55.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2025-10-02T22:43:45.000Z (9 months ago)
- Last Synced: 2025-12-03T19:46:49.811Z (7 months ago)
- Topics: regression, statistics
- Language: R
- Size: 5.94 MB
- Stars: 10
- Watchers: 5
- Forks: 4
- Open Issues: 20
-
Metadata Files:
- Readme: README.Rmd
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
[](https://CRAN.R-project.org/package=rigr) [](https://github.com/statdivlab/rigr/actions) [](https://app.codecov.io/gh/statdivlab/rigr)
# `rigr`: Regression, Inference, and General Data Analysis Tools for R
## Introduction
`rigr` is an `R` package to streamline data analysis in `R`. Learning both `R` and introductory statistics at the same time can be challenging, and so we created `rigr` to facilitate common data analysis tasks and enable learners to focus on statistical concepts.
`rigr`, formerly known as [`uwIntroStats`](https://CRAN.R-project.org/package=uwIntroStats), provides easy-to-use interfaces for descriptive statistics, one- and two-sample inference, and regression analyses. `rigr` output includes key information while omitting unnecessary details that can be confusing to beginners. Heteroskedasticity-robust ("sandwich") standard errors are returned by default, and multiple partial F-tests and tests for contrasts are easy to specify. A single regression function (`regress()`) can fit both linear models, generalized linear models, and proportional hazards models, allowing students to more easily make connections between different classes of models.
## Installation
You can install the stable release of `rigr` from CRAN as follows:
install.packages("rigr")
You can install the development version of `rigr` from GitHub using the code below. The installment is through the `R` package `remotes`.
```{r, echo=FALSE}
# run the following code to make sure that the remote package it installed
if (!requireNamespace("remotes", quietly = TRUE)) {
install.package("remotes")
}
# install the package
remotes::install_github("statdivlab/rigr")
```
If this produces an error, please run `install.packages("remotes")` first then try the above line again.
`rigr` is maintained by the [StatDivLab](https://statdivlab.github.io/), but relies on community support to log issues and implement new features. Is there a method you would like to have implemented? Please submit a pull request or start a [discussion](https://github.com/statdivlab/rigr/discussions/)!
## Documentation
Examples of how to use the main functions in `rigr` are provided in three vignettes. One details the `regress` function and its utilities, one details the `descrip` function for descriptive statistics, and the third details functions used for one- and two-sample inference, including `ttest`, `wilcoxon`, and `proptest`.
## Humans
Maintainer: [Amy Willis](https://statdivlab.github.io/)
Authors: [Scott S Emerson](http://www.emersonstatistics.com/), [Brian D Williamson](https://bdwilliamson.github.io/), [Charles Wolock](https://cwolock.github.io/), [Taylor Okonek](https://taylorokonek.github.io/), [Yiqun T Chen](https://yiqunchen.github.io/), [Jim Hughes](https://www.biostat.washington.edu/people/james-hughes), [Amy Willis](https://statdivlab.github.io/), [Andrew J Spieker](https://www.vumc.org/biostatistics/person/andrew-spieker) and Travis Y Hee Wai.
## Issues
If you encounter any **bugs**, please [file an issue](https://github.com/statdivlab/rigr/issues/). Better yet, [submit a pull request](https://github.com/statdivlab/rigr/pulls/)!
Do you have a **question**? Please first check out the vignettes, then please post on the [Discussions](https://github.com/statdivlab/rigr/discussions/).
## Code of Conduct
Please note that the rigr project is released with a [Contributor Code of Conduct](https://statdivlab.github.io/rigr/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.