R: Many 2 sample proportions tests

Many 2 sample proportions tests {Rfast} | R Documentation

## Many 2 sample proportions tests

### Description

It performs very many 2 sample proportions tests.

### Usage

    proptests(x1, x2, n1, n2)

### Arguments

`x1` | A vector with the successes of the one group.
`x2` | A vector with the successes of the one group.
`n1` | A vector with the number of trials of the one group.
`n2` | A vector with the number of trials of the one group.

### Details

The 2-sample proportions test is performed for each pair of proportions of teh two groups.

### Value

A matrix with the proportions of each group (two columns), the test statistic and the p-value of each test.

### Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris <mtsagris@uoc.gr> and Manos Papadakis <papadakm95@gmail.com>.

### References

B. L. Welch (1951). On the comparison of several mean values: an alternative approach. Biometrika, 38(3/4), 330-336.

### See Also

`ttests, ftests, colVars`

### Examples

    ## 10000 variables, hence 10000 t-tests will be performed
    set.seed(12345)
    x1 <- rpois(500, 5)
    x2 <- rpois(500, 5)
    n1 <- rpois(1000, 40)
    n2 <- rpois(1000, 40)
    a <- proptests(x1, x2, n1, n2)
    mean(a[, 4]<0.05)

    x1 <- rbinom(500, 500, 0.6)
    x2 <- rbinom(500, 500, 0.6)
    b <- proptests(x1, x2, 500, 500)
    mean(b[, 4]<0.05)

[Package Rfast version 2.0.4 Index]