rcorr.adjust {Rcmdr} | R Documentation |
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.
rcorr.adjust(x, type = c("pearson", "spearman")) ## S3 method for class 'rcorr.adjust': print(x, ...)
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" . |
... |
not used. |
Returns an object of class "rcorr.adjust"
, which is normally just printed.
John Fox, adapting code from Robert A. Muenchen.
require(car) rcorr.adjust(Mroz[,c("k5", "k618", "age", "lwg", "inc")]) rcorr.adjust(Mroz[,c("k5", "k618", "age", "lwg", "inc")], type="spearman")