https://github.com/rsquaredacademy/inferr
Parametric and non-parametric statistical tests
https://github.com/rsquaredacademy/inferr
inference inferential-statistics non-parametric parametric rstats statistical-tests
Last synced: about 2 months ago
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Parametric and non-parametric statistical tests
- Host: GitHub
- URL: https://github.com/rsquaredacademy/inferr
- Owner: rsquaredacademy
- License: other
- Created: 2016-11-28T17:40:01.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2024-11-11T15:03:55.000Z (7 months ago)
- Last Synced: 2025-04-09T16:11:15.049Z (about 2 months ago)
- Topics: inference, inferential-statistics, non-parametric, parametric, rstats, statistical-tests
- Language: R
- Homepage: https://inferr.rsquaredacademy.com/
- Size: 2.54 MB
- Stars: 37
- Watchers: 4
- Forks: 8
- Open Issues: 13
-
Metadata Files:
- Readme: README.Rmd
- Changelog: NEWS.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Support: docs/SUPPORT.html
Awesome Lists containing this project
README
---
output: github_document
---
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
```
# inferr
> Tools for Statistical Inference
[](https://cran.r-project.org/package=inferr) [](https://github.com/rsquaredacademy/inferr/actions/workflows/R-CMD-check.yaml)
[](https://app.codecov.io/github/rsquaredacademy/inferr?branch=master)
## Overview
inferr builds upon the statistical tests provided in **stats**, provides additional and flexible input options and more detailed and structured test results. As of version 0.3, **inferr** includes a select set of parametric and non-parametric statistical tests which are listed below:
- One Sample t Test
- Paired Sample t Test
- Independent Sample t Test
- One Sample Proportion Test
- Two Sample Proportion Test
- One Sample Variance Test
- Two Sample Variance Test
- Binomial Test
- ANOVA
- Chi Square Goodness of Fit Test
- Chi Square Independence Test
- Levene's Test
- Cochran's Q Test
- McNemar Test
- Runs Test for Randomness
## Installation
```{r cran-installation, eval = FALSE}
# install inferr from CRAN
install.packages("inferr")
# the development version from github
# install.packages("devtools")
devtools::install_github("rsquaredacademy/inferr")
```
## Articles
- [Introduction to inferr](https://inferr.rsquaredacademy.com/articles/intro.html)
## Usage
#### One Sample t Test
```{r load, echo=FALSE, message=FALSE}
library(inferr)
```
```{r infer1}
ifr_os_t_test(hsb, write, mu = 50, type = 'all')
```
#### ANOVA
```{r anova}
ifr_oneway_anova(hsb, write, prog)
```
#### Chi Square Test of Independence
```{r chi1}
ifr_chisq_assoc_test(hsb, female, schtyp)
```
#### Levene's Test
```{r lev1}
ifr_levene_test(hsb, read, group_var = race)
```
#### Cochran's Q Test
```{r cochran}
ifr_cochran_qtest(exam, exam1, exam2, exam3)
```
#### McNemar Test
```{r mc1}
hb <- hsb
hb$himath <- ifelse(hsb$math > 60, 1, 0)
hb$hiread <- ifelse(hsb$read > 60, 1, 0)
ifr_mcnemar_test(hb, himath, hiread)
```
## Getting Help
If you encounter a bug, please file a minimal reproducible example using
[reprex](https://reprex.tidyverse.org/index.html) on github. For questions and
clarifications, use [StackOverflow](https://stackoverflow.com/).
## Code of Conduct
Please note that the inferr project is released with a [Contributor Code of Conduct](https://inferr.rsquaredacademy.com/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.