correls2 {nestedcv} | R Documentation |
Correlation between a vector and a matrix
Description
Fast Pearson/Spearman correlation where y
is vector, x
is matrix, adapted
from stats::cor.test.
Usage
correls2(y, x, method = "pearson", use = "complete.obs")
Arguments
y |
Numerical vector |
x |
Matrix |
method |
Type of correlation, either "pearson" or "spearman". |
use |
Optional character string giving a method for computing covariances in the presence of missing values. See cor |
Details
For speed, p-values for Spearman's test are computed by
asymptotic t approximation, equivalent to cor.test with exact = FALSE
.
Value
Matrix with columns containing the correlation statistic, either
Pearson r or Spearman rho, and p-values for each column of x
correlated
against vector y
[Package nestedcv version 0.7.9 Index]