RVAideMemoire (version 0.9-27)

cramer.coeff: Cramer's association coefficient

Description

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

Usage

cramer.coeff(var1, var2, nrep = 1000, conf.level = 0.95)

Arguments

var1

factor (first variable).

var2

factor (second variable).

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.

See Also

boot

Examples

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