RVAideMemoire (version 0.9-11)

chisq.bintest: Pearson's Chi-squared test or Fisher's exact test for binary variables

Description

Perform a Pearson's Chi-squared test for comparing response probabilities (i.e. when the response variable is a binary variable), or a Fisher's exact test for count data if more than 20% of expected counts are

Usage

chisq.bintest(formula, data=NULL, alpha = 0.05, p.method = "fdr")

Arguments

formula

a formula of the form a ~ b, where a and b give the data values and corresponding groups, respectively.

data

an optional data frame containing the variables in the formula formula. By default the variables are taken from environment(formula).

alpha

significance level to compute pairwise comparisons.

p.method

method for p-values correction. See help of the p.adjust() function.

Value

• data.name
  a character string giving the name(s) of the data.
• alpha
  significance level.
• test
  a short character string giving the test computed.
• statistic
  test statistics (Pearson's Chi-squared test only).
• parameter
  test degrees of freedom (Pearson's Chi-squared test only).
• p.value
  p-value of the global test.
• method
  a long character string giving the test computed.
• p.adjust.method
  method for p-values correction.
• multcomp
  data frame of pairwise comparisons result.
• multcomp.method
  a character string giving the test computed for pairwise comparisons.

Examples

response <- c(0,0,0,0,0,0,1,0,0,1,0,0,1,0,1,1,1,0,0,1,1,1,1,1,1,0,0,1,1,1)
fact <- gl(3,10,labels=LETTERS[1:3])
chisq.bintest(response~fact)