LimitforONN {BinOrdNonNor}R Documentation

Finds the feasible correlation range for a pair of binary/ordinal and continuous variables

Description

The function computes the lower and upper correlation bounds of a pairwise correlation between a binary/ordinal variable and a continuous variable using GSC algorithm in Demirtas and Hedeker (2011).

Usage

LimitforONN(pvec1, skew1, kurto1)
Limit_forONN(pvec1, skew1, kurto1) #Deprecated

Arguments

pvec1

A vector of the cumulative probabilities defining the marginal distribution for the binary/ordinal variable of the pair. If the variable is binary, the probability vector will contain only 1 probability value. If the variable is ordinal with k categories (k > 2), the probability vector will contain (k-1) values. The k-th element is implicitly 1.

skew1

The skewness value for continuous variable of the pair.

kurto1

The kurtosis value for continuous variable of the pair.

Value

A vector of two elements. The first element is the lower correlation bound and the second element is the upper correlation bound.

References

Demirtas, H., Hedeker, D. (2011). A practical way for computing approximate lower and upper correlation bounds. The American Statistician, 65(2), 104-109.

See Also

Fleishman.coef.NN

Examples

LimitforONN(pvec1=c(0.2, 0.5), skew1=1, kurto1=2)

[Package BinOrdNonNor version 1.5.2 Index]