Other packages > Find by keyword >

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", "1.7.2")



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: 2025-07-27
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 1.7.2, https://cran.r-project.org/web/packages/statsExpressions. Accessed 04 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:09), 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), 1.5.4 (2024-03-20 17:30), 1.5.5 (2024-07-05 19:10), 1.6.0 (2024-09-08 18:20), 1.6.1 (2024-10-31 01:10), 1.6.2 (2024-12-02 22:40), 1.7.0 (2025-05-10 00:20), 1.7.1 (2025-07-27 12:50), 1.7.2 (2025-12-06 19:10), 1.7.3 (2026-02-05 15:00), 1.7.4 (2026-04-05 09:30)
Other packages that cited statsExpressions R package
View statsExpressions citation profile
Other R packages that statsExpressions depends, imports, suggests or enhances
Complete documentation for statsExpressions
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ggconf  
Simpler Appearance Modification of "ggplot2"
A flexible interface for ggplot2theme potentially saving 50 of your typing. ...
Download / Learn more Package Citations See dependency  
epigraphdb  
Interface Package for the 'EpiGraphDB' Platform
The interface package to access data from the 'EpiGraphDB' platform. It p ...
Download / Learn more Package Citations See dependency  
Maintainer: Yi Liu (view profile)
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
sValues  
Measures of Sturdiness of Regression Coefficients
Implements the s-values proposed by Ed. Leamer. It provides a context-minimal approach for sensitivi ...
Download / Learn more Package Citations See dependency  
rCMA  
R-to-Java Interface for 'CMA-ES'
Tool for providing access to the Java version 'CMAEvolutionStrategy' of Nikolaus Hansen. 'CMA-ES' i ...
Download / Learn more Package Citations See dependency  
GLMMadaptive  
Generalized Linear Mixed Models using Adaptive Gaussian Quadrature
Fits generalized linear mixed models for a single grouping factor under maximum likelihood approxim ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA