correlation {CUFF} R Documentation

## Bivariate correlations

### Description

This is a function that creates correlation matrix objects that can be printed with the corresponding N and p-values. It is a wrapper for cor and cor.test.

### Usage

correlation(x, y = NULL, method = "pearson",
alternative = "two.sided", exact = NULL,
use = "pairwise.complete.obs",
continuity = FALSE, data = NULL)
## S3 method for class 'corr'
print(x, ... , toLatex = FALSE, cutstr = NULL, toMarkdown = FALSE)


### Arguments

 x x is a matrix/data.frame or a formula defining which variable to use in the correlation matrix (see details). y y is a matrix/data.frame to correlate against x. If x is a formula y is passed to data argument method Method used to compute correlations. alternative Unilateral (one.sided) test or bilateral (two.sided) test. See help(cor) for more details. exact Logical value to know if a p.value is exact or asymptotic. See help(cor) for more details. use Methods to deal with missing values. continuity Logical value to know if continuity correction must be used. See help(cor) for more details. ... Unused in this function data data.frame to use in conjuction with formula toLatex Logical value to know if output displayed as a latex tabular environment. cutstr Optional digits that cut the length of variable names toMarkdown Logical value to know if output should be displayed as a markdown table for report

### Value

Returns a list with correlations, N for each pair of correlations and p.value for each correlations.

### Author(s)

Charles-Édouard Giguère

### Examples

require(CUFF)
X=rnorm(10)
Y=rnorm(10)
correlation(cbind(X,Y))


[Package CUFF version 1.9 Index]