corr aims to provide a consistent interface to compute several types of correlation coefficient and Cramér's V measure of association. It offers an easy way to visualize the results with heatmaps.
corr fits naturally in the tidyverse and is "pipe-friendly".
To install the package, simply run the following from an R console:
# install.packages("remotes")
remotes::install_github("thoera/corr")library("corr")
# compute the correlation
results <- compute_cor(mtcars, method = "pearson")
# view the results
plot_cor(results, value = TRUE)
# corr is "pipe-friendly"
library("tidyverse")
starwars %>%
select_if(is.character) %>%
select(-name) %>%
filter(complete.cases(.)) %>%
compute_cor(method = "cramer") %>%
plot_cor(type = "lower",
value = TRUE,
limits_scale = c(0, 1),
title_legend = "Cramér's V:")With the mtcars dataset:
