# prop.bin.multcomp: Pairwise comparisons after a test for given probabilities In RVAideMemoire: Testing and Plotting Procedures for Biostatistics

## Description

Performs pairwise comparisons after a global test for given response probabilities (i.e. when the response variable is a binary variable), by using exact binomial tests. The function is in fact a wrapper to pairwise comparisons of proportions to given values on a contingency table.

## Usage

 `1` ```prop.bin.multcomp(formula, data, p, p.method = "fdr") ```

## Arguments

 `formula` a formula of the form `a ~ b`, where `a` and `b` give the data values and corresponding groups, respectively. `a` can be a numeric vector or a factor, with only two possible values (except NA). `data` an optional data frame containing the variables in the formula `formula`. By default the variables are taken from `environment(formula)`. `p` theoretical probabilities. `p.method` method for p-values correction. See help of `p.adjust`.

## Details

If the response is a 0/1 variable, the probability of the '1' group is tested. In any other cases, the response is transformed into a factor and the probability of the second level is tested.

## Value

 `method` name of the test. `data.name` a character string giving the name(s) of the data. `observed` observed probabilities. `expected` expected probabilities. `p.adjust.method` method for p-values correction. `p.value2` corrected p-values. `p.value` table or results of pairwise comparisons.

## Author(s)

Maxime Herv<e9> <[email protected]>

`prop.multcomp`, `chisq.theo.bintest`
 ```1 2 3 4 5``` ```response <- c(rep(0:1,c(40,60)),rep(0:1,c(55,45)),rep(0:1,c(65,35))) fact <- gl(3,100,labels=LETTERS[1:3]) p.theo <- c(0.5,0.45,0.2) chisq.theo.bintest(response~fact,p=p.theo) prop.bin.multcomp(response~fact,p=p.theo) ```