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

gkgamma {MESS} | R Documentation

## 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 claus@rprimer.dk

### 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)

[Package MESS version 0.5.9 Index]