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

Description Usage Arguments Value Missing values Author(s) See Also Examples

Description

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

Usage

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 rowIQRs(x, rows=NULL, cols=NULL, na.rm=FALSE, ...)
 colIQRs(x, rows=NULL, cols=NULL, na.rm=FALSE, ...)
 iqr(x, idxs=NULL, na.rm=FALSE, ...)

Arguments

x

A numeric NxK matrix.

idxs, rows, cols

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

na.rm

If TRUE, missing values are dropped first, otherwise not.

...

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

Value

Returns a numeric vector of length N (K).

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(s)

Henrik Bengtsson

See Also

See IQR. See rowSds().

Examples

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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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