sd: Covariance and Correlation
| sd | R Documentation |
Covariance and Correlation
Description
sd() will compute the standard deviations of the columns, equivalent
to calling apply(x, MARGIN=2, FUN=sd) (which will work for
distributed matrices, by the way). However, this should be much faster and
use less memory than apply(). If reduce=FALSE then the return
is a distributed matrix consisting of one (global) row; otherwise, an
R vector is returned, with ownership of this vector determined by
proc.dest.
Usage
## S4 method for signature 'ddmatrix'
sd(x, na.rm = FALSE, reduce = FALSE, proc.dest = "all")
## S4 method for signature 'ANY'
sd(x, na.rm = FALSE)
Arguments
x |
numeric distributed matrices. |
na.rm |
Logical; if TRUE, then |
reduce |
logical or string. See details |
proc.dest |
Destination process (or 'all') if a reduction occurs |
Value
Returns a distributed matrix.
