K: Coefficient of divergence

In shipunov: Miscellaneous Functions from Alexey Shipunov

Coefficient of divergence

Description

Lubischew's coefficient of divergence (SSMD^2)

Usage

K(x, y=NULL, data=NULL, mad=FALSE, na.rm=TRUE)
## S3 method for class 'K'
print(x, ...)
## S3 method for class 'K'
summary(object, ..., num=2)

Arguments

x	Numeric vector, or formula, or object of the class 'K'
y	Second numeric vector, or nothing
data	Data with two columns (in case of formula)
mad	Non-parametric variant of K (not Lubischew's)
na.rm	Remove NAs?
object	Object of the class 'K'
num	Digits to round
...	Additional arguments

Details

One of the effect size measures, Lubischew's K, coefficient of divergence (Lubischew, 1959). Interestingly, the recently invented "striclty standardized mean difference" SSMD (see, for example, "https://en.wikipedia.org/wiki/Strictly_standardized_mean_difference") is just a square root of K.

Value

K() returns value of K, or nothing. summary.K() returns also magnitude and P, "probability of misclassification".

Author(s)

Alexey Shipunov

References

Lubischew A. A. 1959. How to apply biometry to systematics. Leningrad University Herald. N 9. P. 128–136. [In Russian, English abstract].

Examples

K(1:3, 2:100)
sapply(eq[, -1], function(.x) K(.x ~ eq[, 1]))
summary(K(x17 ~ Species, data=haltica), num=5)

shipunov documentation built on Feb. 16, 2023, 9:05 p.m.