association.measures: Measures of association

In oii: Crosstab and Statistical Tests for OII MSc Stats Course

Description

This function calculates basic measures of association

Usage

association.measures(x, y = NULL, warnings = FALSE)

Arguments

x	a table or matrix if y is NULL, or a numeric vector for the row variable
y	the column variable, a numeric vector used only when x is not a table or matrix.
warnings	a logical value indicating whether warnings should be shown (defaults to FALSE, no warnings).

Value

A list with the following elements is returned:

phi	Phi, a chi-square-based measures of association.
contingency_coefficient	Contingency coefficient, a chi-square-based measures of association.
cramersv	Cramer's V, a chi-square-based measures of association.
pairs_total	Total number of pairs
pairs_concordant	Number of concordant pairs
pairs_discordant	Number of discordant pairs
pairs_tied_first	The number of pairs tied on the first variable (but not both variables)
pairs_tied_second	The number of pairs tied on the second variable (but not both variables)
pairs_tied_both	The number of pairs tied on both the first and second variables
minimum_dim	Minimum dimension of x and y
n	Number of cases
gamma	Goodman-Kruskal Gamma
somersd	Somers' d (assuming the column variable is the dependent variable)
taub	Kendall's tau-b
tauc	Stuart's tau-c

See Also

oii.xtab, likelihood.test, lambda.test, concordant.pairs, discordant.pairs, tied.pairs

Examples

#Create var1 as 200 A's, B's, and C's
var1<-sample(LETTERS[1:3],size=200,replace=TRUE)
#Create var2 as 200 numbers in the range 1 to 4
var2<-sample(1:4,size=200,replace=TRUE)

#Print a simple cross tab of var1 and var2
association.measures(var1,var2)

oii documentation built on May 2, 2019, 6:33 a.m.