0th

Percentile

Compute Pearson or Spearman Correlations with p-Values

This function uses the rcorr function in the Hmisc package to compute matrices of Pearson or Spearman correlations along with the pairwise p-values among the correlations. The p-values are corrected for multiple inference using Holm's method (see p.adjust). Observations are filtered for missing data, and only complete observations are used.

Keywords
htest
Usage
rcorr.adjust(x, type = c("pearson", "spearman"),
use=c("complete.obs", "pairwise.complete.obs"))

## S3 method for class 'rcorr.adjust':
print(x, ...)
Arguments
x
a numeric matrix or data frame, or an object of class "rcorr.adjust" to be printed.
type
"pearson" or "spearman", depending upon the type of correlations desired; the default is "pearson".
use
how to handle missing data: "complete.obs", the default, use only complete cases; "pairwise.complete.obs", use all cases with valid data for each pair.
...
not used.
Value

• Returns an object of class "rcorr.adjust", which is normally just printed.

rcorr, p.adjust.

Aliases
require(car)
rcorr.adjust(Mroz[,c("k5", "k618", "age", "lwg", "inc")], type="spearman")