IQrange: The Interquartile Range

In MKmisc: Miscellaneous Functions from M. Kohl

The Interquartile Range

Description

Computes (standardized) interquartile range of the x values.

Usage

IQrange(x, na.rm = FALSE, type = 7)
sIQR(x, na.rm = FALSE, type = 7, constant = 2*qnorm(0.75))

Arguments

x	a numeric vector.
na.rm	logical. Should missing values be removed?
type	an integer between 1 and 9 selecting one of nine quantile algorithms; for more details see quantile.
constant	standardizing contant; see details below.

Details

This function IQrange computes quartiles as IQR(x) = quantile(x,3/4) - quantile(x,1/4). The function is identical to function IQR. It was added before the type argument was introduced to function IQR in 2010 (r53643, r53644).

For normally N(m,1) distributed X, the expected value of IQR(X) is 2*qnorm(3/4) = 1.3490, i.e., for a normal-consistent estimate of the standard deviation, use IQR(x) / 1.349. This is implemented in function sIQR (standardized IQR).

Author(s)

Matthias Kohl [e-mail]

References

Tukey, J. W. (1977). Exploratory Data Analysis. Reading: Addison-Wesley.

See Also

quantile, IQR.

Examples

IQrange(rivers)

## identical to
IQR(rivers)

## other quantile algorithms
IQrange(rivers, type = 4)
IQrange(rivers, type = 5)

## standardized IQR
sIQR(rivers)

## right-skewed data distribution
sd(rivers)
mad(rivers)

## for normal data
x <- rnorm(100)
sd(x)
sIQR(x)
mad(x)

MKmisc documentation built on Nov. 20, 2022, 1:05 a.m.