Calculates the median for each row (column) in a matrix.
rowMedians(x, rows = NULL, cols = NULL, na.rm = FALSE, dim. = dim(x),
..., useNames = TRUE)colMedians(x, rows = NULL, cols = NULL, na.rm = FALSE, dim. = dim(x),
..., useNames = TRUE)
Returns a numeric
vector
of
length N (K).
A vector
indicating subset of rows
(and/or columns) to operate over. If NULL
, no subsetting
is done.
An integer
vector
of
length two specifying the dimension of x
, also when not a
matrix
.
Not used.
If FALSE
(default), no naming
support is done. Else if TRUE
, names attributes
of result are set.
Henrik Bengtsson, Harris Jaffee
The implementation of rowMedians()
and colMedians()
is
optimized for both speed and memory. To avoid coercing to
double
s (and hence memory allocation), there is a
special implementation for integer
matrices. That is,
if x
is an integer
matrix
,
then rowMedians(as.double(x))
(rowMedians(as.double(x))
) would
require three times the memory of rowMedians(x)
(colMedians(x)
), but all this is avoided.
See rowWeightedMedians()
and
colWeightedMedians()
for weighted medians.
For mean estimates, see rowMeans2()
and
rowMeans()
.