RVAideMemoire (version 0.9-45-2)

cramer.test: Cramer's association coefficient

Description

Computes the Cram�r'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
  Cram�r'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.test(var1,var2)
# or cramer.test(table(var1,var2))