R: Robust Range using Boxplot 'Quartiles'

rrange {sfsmisc}

R Documentation

Robust Range using Boxplot ‘Quartiles’

Description

Compute a robust range, i.e. the usual range() as long as there are no outliers, using the “whisker boundaries” of boxplot.

Usage

rrange(x, range=1, coef = 1.5, na.rm = TRUE)

Arguments

`x`	numeric vector the robust range of which shall be computed.
`range`	number for S compatibility; `1.5 * range` is equivalent to `coef`.
`coef`	numeric multiplication factor definying the outlier boundary, see “Details” below.
`na.rm`	logical indicating how `NA` values should be handled; they are simply dropped when `na.rm = TRUE` as by default.

Details

The robust range is really just what boxplot.stats(x, coef=coef) returns as the whisker boundaries. This is the most extreme values x[j] still inside median plus/minus coef * IQR.

Value

numeric vector c(m,M) with m <= M which is (not strictly) inside range(x) = c(min(x),max(x)).

Author(s)

Martin Maechler, 1990.

Examples

stopifnot(rrange(c(1:10,1000)) == c(1,10))

[Package sfsmisc version 1.0-19 Index]