gkgamma: Goodman-Kruskal's gamma statistic for a two-dimensional table

In MESS: Miscellaneous Esoteric Statistical Scripts

Goodman-Kruskal's gamma statistic for a two-dimensional table

Description

Compute Goodman-Kruskal's gamma statistic for a two-dimensional table of ordered categories

Usage

gkgamma(x, conf.level = 0.95)

Arguments

x	A matrix or table representing the two-dimensional ordered contingency table of observations
conf.level	Level of confidence interval

Value

A list with class htest containing the following components:

statistic	the value the test statistic for testing no association
p.value	the p-value for the test
estimate	the value the gamma estimate
conf.int	the confidence interval for the gamma estimate
method	a character string indicating the type of test performed
data.name	a character string indicating the name of the data input
observed	the observed counts
s0	the SE used when computing the test statistics
s1	the SE used when computing the confidence interval

Author(s)

Claus Ekstrom [e-mail]

References

Goodman, Leo A. and Kruskal, William H. (1954). "Measures of Association for Cross Classifications". Journal of the American Statistical Association 49 (268): 732-764.

See Also

chisq.test

Examples

# Data from the Glostrup study comparing smoking to overall health in males
smoke <- matrix(c(16, 15, 13, 10, 1, 73, 75, 59, 81, 29, 6, 6, 7, 17, 3, 1, 0, 1, 3, 1), ncol=4)
colnames(smoke) <- c("VGood", "Good", "Fair", "Bad") # General health status
rownames(smoke) <- c("Never", "No more", "1-14", "15-24", "25+")  # Smoke amount
gkgamma(smoke)
chisq.test(smoke)

MESS documentation built on Aug. 21, 2023, 1:05 a.m.