Estimates quantiles for each row (column) in a matrix
Estimates quantiles for each row (column) in a matrix.
rowQuantiles(x, rows = NULL, cols = NULL, probs = seq(from = 0, to = 1, by = 0.25), na.rm = FALSE, type = 7L, ..., drop = TRUE) colQuantiles(x, rows = NULL, cols = NULL, probs = seq(from = 0, to = 1, by = 0.25), na.rm = FALSE, type = 7L, ..., drop = TRUE)
x |
|
rows, cols |
A |
probs |
|
na.rm |
|
type |
An |
... |
Additional arguments passed to |
drop |
If TRUE, singleton dimensions in the result are dropped, otherwise not. |
Returns a NxJ (KxJ) matrix, where N (K) is the
number of rows (columns) for which the J quantiles are calculated.
The return type is either integer or numeric depending on type.
Henrik Bengtsson
set.seed(1) x <- matrix(rnorm(50 * 40), nrow = 50, ncol = 40) str(x) probs <- c(0.25, 0.5, 0.75) # Row quantiles q <- rowQuantiles(x, probs = probs) print(q) q_0 <- apply(x, MARGIN = 1, FUN = quantile, probs = probs) stopifnot(all.equal(q_0, t(q))) # Column IQRs q <- colQuantiles(x, probs = probs) print(q) q_0 <- apply(x, MARGIN = 2, FUN = quantile, probs = probs) stopifnot(all.equal(q_0, t(q)))
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