colWeightedMedians,dgCMatrix-method {sparseMatrixStats} | R Documentation |
Calculates the weighted median for each row (column) of a matrix-like object.
## S4 method for signature 'dgCMatrix' colWeightedMedians( x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, useNames = NA ) ## S4 method for signature 'dgCMatrix' rowWeightedMedians( x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, useNames = NA )
x |
An NxK matrix-like object. |
w |
A |
rows |
A |
cols |
A |
na.rm |
|
useNames |
If |
The S4 methods for x
of type matrix
,
array
, or numeric
call
matrixStats::rowWeightedMedians
/ matrixStats::colWeightedMedians
.
Returns a numeric
vector
of length N (K).
matrixStats::rowWeightedMedians()
and
matrixStats::colWeightedMedians()
which are used when the input is a matrix
or numeric
vector.
See also rowMedians for the corresponding unweighted function.
mat <- matrix(rnorm(15), nrow = 5, ncol = 3) mat[2, 1] <- NA mat[3, 3] <- Inf mat[4, 1] <- 0 print(mat) w <- rnorm(n = 5, mean = 3) rowWeightedMedians(mat, w = w[1:3]) colWeightedMedians(mat, w = w)