gkgamma function

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

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

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

Returns

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

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)

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

Author(s)

Claus Ekstrom claus@rprimer.dk