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matrixStats (version 1.4.1)

rowIQRs: Estimates of the interquartile range for each row (column) in a matrix

Description

Estimates of the interquartile range for each row (column) in a matrix.

Usage

rowIQRs(x, rows = NULL, cols = NULL, na.rm = FALSE, ...,
  useNames = TRUE)

colIQRs(x, rows = NULL, cols = NULL, na.rm = FALSE, ..., useNames = TRUE)

iqr(x, idxs = NULL, na.rm = FALSE, ...)

Value

Returns a numeric

vector of length N (K).

Arguments

x

An NxK matrix or, if dim. is specified, an N * K vector.

rows

A vector indicating subset of rows to operate over. If NULL, no subsetting is done.

cols

A vector indicating subset of columns to operate over. If NULL, no subsetting is done.

na.rm

If TRUE, missing values are excluded.

...

Additional arguments passed to rowQuantiles() (colQuantiles()).

useNames

If TRUE (default), names attributes of the result are set, otherwise not.

idxs

A vector indicating subset of elements to operate over. If NULL, no subsetting is done.

Missing values

Contrary to IQR, which gives an error if there are missing values and na.rm = FALSE, iqr() and its corresponding row and column-specific functions return NA_real_.

Author

Henrik Bengtsson

See Also

See IQR. See rowSds().

Examples

Run this code
set.seed(1)

x <- matrix(rnorm(50 * 40), nrow = 50, ncol = 40)
str(x)

# Row IQRs
q <- rowIQRs(x)
print(q)
q0 <- apply(x, MARGIN = 1, FUN = IQR)
stopifnot(all.equal(q0, q))

# Column IQRs
q <- colIQRs(x)
print(q)
q0 <- apply(x, MARGIN = 2, FUN = IQR)
stopifnot(all.equal(q0, q))

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