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corrtable  

Creates and Saves Out a Correlation Table with Significance Levels Indicated
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("corrtable", "0.1.1")



Attach the package and use:
library("corrtable")
Maintained by
Laura Lambert
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-12
Latest Update: 2022-09-12
Description:
After using this, a publication-ready correlation table with p-values indicated will be created. The input can be a full data frame; any string and Boolean terms will be dropped as part of functionality. Correlations and p-values are calculated using the 'Hmisc' framework. Output of the correlation_matrix() function is a table of strings; this gets saved out to a '.csv2' with the save_correlation_matrix() function for easy insertion into a paper. For more details about the process, consult .
How to cite:
Laura Lambert (2022). corrtable: Creates and Saves Out a Correlation Table with Significance Levels Indicated. R package version 0.1.1, https://cran.r-project.org/web/packages/corrtable. Accessed 04 Jan. 2025.
Previous versions and publish date:
0.1.0 (2022-09-12 11:52)
Other packages that cited corrtable R package
View corrtable citation profile
Other R packages that corrtable depends, imports, suggests or enhances
Complete documentation for corrtable
Functions, R codes and Examples using the corrtable R package
Some associated functions: correlation_matrix . save_correlation_matrix . 
Some associated R codes: correlation_matrix.R . save_correlation_matrix.R .  Full corrtable package functions and examples
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