cor_mark_significant: Add Significance Levels To a Correlation Matrix

In kassambara/rstatix: Pipe-Friendly Framework for Basic Statistical Tests

Add Significance Levels To a Correlation Matrix

Description

Combines correlation coefficients and significance levels in a correlation matrix data.

Usage

cor_mark_significant(
  x,
  cutpoints = c(0, 1e-04, 0.001, 0.01, 0.05, 1),
  symbols = c("****", "***", "**", "*", "")
)

Arguments

x	an object of class cor_mat().
cutpoints	numeric vector used for intervals.
symbols	character vector, one shorter than cutpoints, used as significance symbols.

Value

a data frame containing the lower triangular part of the correlation matrix marked by significance symbols.

Examples

mtcars %>%
  select(mpg, disp, hp, drat, wt, qsec) %>%
  cor_mat() %>%
  cor_mark_significant()

kassambara/rstatix documentation built on Feb. 6, 2023, 3:36 a.m.