cortestR: Correlations with significance

In wrappedtools: Useful Wrappers Around Commonly Used Functions

Correlations with significance

Description

cortestR computes correlations and their significance level based on cor.test. Coefficients and p-values may be combined or reported separately.

Usage

cortestR(
  cordata,
  method = "pearson",
  digits = 3,
  digits_p = 3,
  sign_symbol = TRUE,
  split = FALSE,
  space = ""
)

Arguments

cordata	data frame or matrix with rawdata.
method	as in cor.test.
digits	rounding level for estimate.
digits_p	rounding level for p value.
sign_symbol	If true, use significance indicator instead of p-value.
split	logical, report correlation and p combined (default) or split in list.
space	character to fill empty upper triangle.

Value

Depending on parameters split and sign_symbol, either a single data frame with coefficient and p-values or significance symbols or a list with two data frames.

Examples

# with defaults
cortestR(mtcars[, c("wt", "mpg", "qsec")], split = FALSE, sign_symbol = TRUE)
# separate coefficients and p-values
cortestR(mtcars[, c("wt", "mpg", "qsec")], split = TRUE, sign_symbol = FALSE)

wrappedtools documentation built on Oct. 10, 2024, 5:07 p.m.