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statsExpressions  

Tidy Dataframes and Expressions with Statistical Details
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("statsExpressions", "1.5.4")



Attach the package and use:
library("statsExpressions")
Maintained by
Indrajeet Patil
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-24
Latest Update: 2023-05-23
Description:
Utilities for producing dataframes with rich details for the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian t-test, one-way ANOVA, correlation analyses, contingency table analyses, and meta-analyses. The functions are pipe-friendly and provide a consistent syntax to work with tidy data. These dataframes additionally contain expressions with statistical details, and can be used in graphing packages. This package also forms the statistical processing backend for 'ggstatsplot'. References: Patil (2021) <doi:10.21105/joss.03236>.
How to cite:
Indrajeet Patil (2019). statsExpressions: Tidy Dataframes and Expressions with Statistical Details. R package version 1.5.4, https://cran.r-project.org/web/packages/statsExpressions
Previous versions and publish date:
0.1.0 (2019-08-24 15:20), 0.1.1 (2019-08-28 10:20), 0.1.2 (2019-12-13 10:30), 0.1.3 (2019-12-18 16:30), 0.2.0 (2020-01-10 06:30), 0.2.1 (2020-01-23 14:40), 0.3.0 (2020-01-29 13:50), 0.3.1 (2020-02-14 12:20), 0.4.0 (2020-04-15 10:30), 0.4.1 (2020-04-22 16:50), 0.4.2 (2020-06-20 16:00), 0.5.0 (2020-09-12 23:10), 0.5.1 (2020-10-05 15:20), 0.6.0 (2020-10-31 01:50), 0.6.1 (2020-12-01 22:50), 0.6.2 (2020-12-08 11:30), 0.7.0 (2021-01-19 17:10), 0.7.1 (2021-02-19 13:50), 1.0.0 (2021-03-11 07:20), 1.0.1 (2021-04-13 17:10), 1.1.0 (2021-05-30 06:30), 1.2.0 (2021-10-19 10:40), 1.3.0 (2022-01-14 17:50), 1.3.1 (2022-03-29 12:00), 1.3.2 (2022-05-20 21:50), 1.3.3 (2022-08-11 08:10), 1.3.4 (2022-10-10 13:40), 1.3.5 (2022-11-07 13:40), 1.3.6 (2022-12-16 13:10), 1.4.0 (2023-01-14 21:20), 1.5.0 (2023-02-19 15:30), 1.5.1 (2023-05-23 23:10), 1.5.2 (2023-09-12 16:20), 1.5.3 (2024-01-13 13:00)
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