matrixStats (version 0.53.0)

rowQuantiles: Estimates quantiles for each row (column) in a matrix

Description

Estimates quantiles for each row (column) in a matrix.

Usage

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)

Arguments

x

A numeric NxK matrix with N >= 0.

rows, cols

A vector indicating subset of rows (and/or columns) to operate over. If NULL, no subsetting is done.

probs

A numeric vector of J probabilities in [0, 1].

na.rm

If TRUE, NAs are excluded first, otherwise not.

type

An integer specify the type of estimator. See quantile for more details.

...

Additional arguments passed to quantile.

drop

If TRUE, singleton dimensions in the result are dropped, otherwise not.

Value

Returns a numeric NxJ (KxJ) matrix, where N (K) is the number of rows (columns) for which the J quantiles are calculated.

See Also

quantile.

Examples

# NOT RUN {
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)))
# }