cramer.test: Cramer's association coefficient

In RVAideMemoire: Testing and Plotting Procedures for Biostatistics

Cramer's association coefficient

Description

Computes the Cramer's association coefficient between 2 nominal variables, its confidence interval (by bootstraping) and tests for its significance.

Usage

cramer.test(x, y, nrep = 1000, conf.level = 0.95)

Arguments

x	a contingency table ('matrix' or 'table' object). x and y can also both be factors.
y	ignored if x is a contingency table. If not, y should be a vector of the same length.
nrep	number of replicates for bootstraping.
conf.level	confidence level.

Value

method	name of the test.
statistic	test statistics.
parameter	test degrees of freedom.
p.value	test p-value.
data.name	a character string giving the names of the data.
estimate	Cramer's coefficient.
conf.level	confidence level.
rep	number of replicates.
conf.int	confidence interval.
alternative	a character string giving the alternative hypothesis, always "two.sided"
null.value	the value of the association measure under the null hypothesis, always 0.

Author(s)

Maxime HERVE <[e-mail]>

See Also

boot

Examples

var1 <- sample(LETTERS[1:3],30,replace=TRUE)
var2 <- sample(letters[1:3],30,replace=TRUE)
cramer.test(var1,var2)
# or cramer.test(table(var1,var2))

RVAideMemoire documentation built on Nov. 6, 2023, 5:07 p.m.