| rowMedians | R Documentation |
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)
x |
An NxK |
rows, cols |
A |
na.rm |
If |
dim. |
An |
... |
Not used. |
useNames |
If |
The implementation of rowMedians() and colMedians() is
optimized for both speed and memory. To avoid coercing to
doubles (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.
Returns a numeric vector of
length N (K).
Henrik Bengtsson, Harris Jaffee
See rowWeightedMedians() and
colWeightedMedians() for weighted medians.
For mean estimates, see rowMeans2() and
rowMeans().
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.