corTestDf: Compute correlations and test their statistical significance

In multiUS: Functions for the Courses Multivariate Analysis and Computer Intensive Methods

Compute correlations and test their statistical significance

Description

The function computes the whole correlation matrix and corresponding sample sizes and p-values. Print method is also available.

Usage

corTestDf(X, method = "p", use = "everything", ...)

## S3 method for class 'corTestDf'
print(x, digits = c(3, 3), format = NULL, ...)

printCorTestDf(l, digits = c(3, 3), format = NULL, ...)

Arguments

X	Data matrix with selected variables.
method	A type of correlation coefficient to be calculated, see function cor.
use	In the case of missing values, which method should be used, see function cor.
...	Other parameters to print.default (not needed).
x	Output of corTestDf function.
digits	Vector of length two for the number of digits (the first element of a vector corresponds to the number of digits for correlation coefficients and the second element of a vector corresponds to the number of digits for p-values).
format	A vector of length two for the formatting of the output values.
l	Output of corTestDf function.

Author(s)

Ales Ziberna

See Also

cor.test

Examples

corTestDf(mtcars[, 3:5])

multiUS documentation built on July 26, 2023, 3:02 p.m.