rcorr.adjust: Compute Pearson or Spearman Correlations with p-Values
Description
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.
The partial.cor function may similarly be used to get p-values and
adjusted p-values for partial correlations.
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.