Other packages > Find by keyword >

ggstatsplot  

'ggplot2' Based Plots with Statistical Details
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ggstatsplot", "0.13.0")



Attach the package and use:
library("ggstatsplot")
Maintained by
Indrajeet Patil
[Scholar Profile | Author Map]
First Published: 2018-04-03
Latest Update: 2023-08-07
Description:
Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included in the plots themselves. It provides an easier syntax to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses. References: Patil (2021) .
How to cite:
Indrajeet Patil (2018). ggstatsplot: 'ggplot2' Based Plots with Statistical Details. R package version 0.13.0, https://cran.r-project.org/web/packages/ggstatsplot. Accessed 05 May. 2025.
Previous versions and publish date:
0.0.1 (2018-04-03 21:52), 0.0.2 (2018-04-28 22:12), 0.0.3 (2018-05-22 18:03), 0.0.4 (2018-07-05 14:50), 0.0.5 (2018-08-14 20:10), 0.0.6 (2018-10-01 00:00), 0.0.7 (2018-12-08 11:00), 0.0.8 (2019-01-07 17:40), 0.0.9 (2019-02-18 10:00), 0.0.10 (2019-03-17 18:50), 0.0.11 (2019-06-14 21:25), 0.0.12 (2019-07-12 16:00), 0.1.1 (2019-08-30 23:40), 0.1.2 (2019-09-17 12:40), 0.1.3 (2019-11-21 23:40), 0.1.4 (2019-12-18 21:00), 0.2.0 (2020-02-03 08:20), 0.3.0 (2020-03-01 20:50), 0.3.1 (2020-03-07 00:50), 0.4.0 (2020-04-15 16:10), 0.5.0 (2020-05-30 17:00), 0.6.0 (2020-09-13 11:00), 0.6.1 (2020-10-06 13:20), 0.6.5 (2020-10-31 10:20), 0.6.6 (2020-12-03 11:40), 0.6.8 (2021-01-19 18:30), 0.7.0 (2021-02-19 16:10), 0.7.1 (2021-03-12 00:10), 0.7.2 (2021-04-12 20:20), 0.8.0 (2021-06-09 13:10), 0.9.0 (2021-10-19 13:20), 0.9.1 (2022-01-15 00:42), 0.9.2 (2022-05-21 12:20), 0.9.3 (2022-05-27 12:00), 0.9.4 (2022-08-11 15:40), 0.9.5 (2022-10-16 14:22), 0.10.0 (2022-11-27 14:20), 0.11.0 (2023-02-15 16:30), 0.11.1 (2023-04-14 09:50), 0.12.0 (2023-08-07 15:40), 0.12.1 (2023-09-21 00:10), 0.12.2 (2024-01-14 15:30), 0.12.3 (2024-04-06 19:43), 0.12.4 (2024-07-06 18:22), 0.12.5 (2024-11-01 09:00)
Other packages that cited ggstatsplot R package
View ggstatsplot citation profile
Other R packages that ggstatsplot depends, imports, suggests or enhances
Complete documentation for ggstatsplot
Downloads during the last 30 days
04/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/3005/0105/0205/0305/04Downloads for ggstatsplot100150200250300350400450500TrendBars

Today's Hot Picks in Authors and Packages

lifecourse  
Quantification of Lifecourse Fluidity
Provides in built datasets and three functions. These functions are mobility_index, nonStanTest and ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
BINCOR  
Estimate the Correlation Between Two Irregular Time Series
Estimate the correlation between two irregular time series that are not necessarily sampled on ident ...
Download / Learn more Package Citations See dependency  
cape  
Combined Analysis of Pleiotropy and Epistasis for Diversity Outbred Mice
Combined Analysis of Pleiotropy and Epistasis infers predictive networks between genetic variants a ...
Download / Learn more Package Citations See dependency  
rsvd  
Randomized Singular Value Decomposition
Low-rank matrix decompositions are fundamental tools and widely used for data analysis, dimension r ...
Download / Learn more Package Citations See dependency  
pdqr  
Work with Custom Distribution Functions
Create, transform, and summarize custom random variables with distribution functions (analogues of ...
Download / Learn more Package Citations See dependency  

24,187

R Packages

207,311

Dependencies

65,312

Author Associations

24,143

Publication Badges

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