corAndPvalue: Calculation of correlations and associated p-values

In WGCNA: Weighted Correlation Network Analysis

Calculation of correlations and associated p-values

Description

A faster, one-step calculation of Student correlation p-values for multiple correlations, properly taking into account the actual number of observations.

Usage

corAndPvalue(x, y = NULL, 
             use = "pairwise.complete.obs", 
             alternative = c("two.sided", "less", "greater"),
             ...)

Arguments

x	a vector or a matrix
y	a vector or a matrix. If NULL, the correlation of columns of x will be calculated.
use	determines handling of missing data. See cor for details.
alternative	specifies the alternative hypothesis and must be (a unique abbreviation of) one of "two.sided", "greater" or "less". the initial letter. "greater" corresponds to positive association, "less" to negative association.
...	other arguments to the function cor.

Details

The function calculates correlations of a matrix or of two matrices and the corresponding Student p-values. The output is not as full-featured as cor.test, but can work with matrices as input.

Value

A list with the following components, each a matrix:

cor	the calculated correlations
p	the Student p-values corresponding to the calculated correlations
Z	Fisher transforms of the calculated correlations
t	Student t statistics of the calculated correlations
nObs	Numbers of observations for the correlation, p-values etc.

Author(s)

Peter Langfelder and Steve Horvath

References

Peter Langfelder, Steve Horvath (2012) Fast R Functions for Robust Correlations and Hierarchical Clustering. Journal of Statistical Software, 46(11), 1-17. https://www.jstatsoft.org/v46/i11/

See Also

cor for calculation of correlations only;

cor.test for another function for significance test of correlations

Examples

# generate random data with non-zero correlation
set.seed(1);
a = rnorm(100);
b = rnorm(100) + a;
x = cbind(a, b);
# Call the function and display all results
corAndPvalue(x)
# Set some components to NA
x[c(1:4), 1] = NA
corAndPvalue(x)
# Note that changed number of observations.

WGCNA documentation built on Jan. 22, 2023, 1:34 a.m.