colQuantiles,xgCMatrix-method {sparseMatrixStats} | R Documentation |
Calculates quantiles for each row (column) of a matrix-like object.
## S4 method for signature 'xgCMatrix' colQuantiles( x, rows = NULL, cols = NULL, probs = seq(from = 0, to = 1, by = 0.25), na.rm = FALSE, type = 7L, useNames = NA, drop = TRUE ) ## S4 method for signature 'xgCMatrix' rowQuantiles( x, rows = NULL, cols = NULL, probs = seq(from = 0, to = 1, by = 0.25), na.rm = FALSE, type = 7L, useNames = NA, drop = TRUE )
x |
An NxK matrix-like object. |
rows |
A |
cols |
A |
probs |
A numeric vector of J probabilities in [0, 1]. |
na.rm |
|
type |
An integer specifying the type of estimator. See
|
useNames |
If |
drop |
If |
The S4 methods for x
of type matrix
,
array
, or numeric
call
matrixStats::rowQuantiles
/ matrixStats::colQuantiles
.
a numeric
NxJ
(KxJ
)
matrix
, where N (K) is the number of rows (columns) for
which the J values are calculated.
matrixStats::rowQuantiles()
and
matrixStats::colQuantiles()
which
are used when the input is a matrix
or numeric
vector.
mat <- matrix(rnorm(15), nrow = 5, ncol = 3) mat[2, 1] <- NA mat[3, 3] <- Inf mat[4, 1] <- 0 print(mat) rowQuantiles(mat) colQuantiles(mat)