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rigr  

Regression, Inference, and General Data Analysis Tools in R
View on CRAN: Click here


Download and install rigr package within the R console
Install from CRAN:
install.packages("rigr")

Install from Github:
library("remotes")
install_github("cran/rigr")

Install by package version:
library("remotes")
install_version("rigr", "1.0.4")



Attach the package and use:
library("rigr")
Maintained by
Amy D Willis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-15
Latest Update: 2022-09-06
Description:
A set of tools to streamline data analysis. 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. We provide 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. Heteroscedasticity-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 can fit both linear and generalized linear models, allowing students to more easily make connections between different classes of models.
How to cite:
Amy D Willis (2021). rigr: Regression, Inference, and General Data Analysis Tools in R. R package version 1.0.4, https://cran.r-project.org/web/packages/rigr. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.1 (2021-09-15 11:20), 1.0.3 (2022-06-08 23:00)
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