R: Many ANOVAS for count data with Poisson or quasi Poisson...

Many ANOVAS for count data with Poisson or quasi Poisson models {Rfast} | R Documentation

## Many ANOVAS for count data with Poisson or quasi Poisson models

### Description

Many ANOVAS for count data with Poisson or quasi Poisson models.

### Usage

    colpoisson.anovas(y, x, logged = FALSE)
    colquasipoisson.anovas(y, x, logged = FALSE)

### Arguments

`y` | A numerical vector with the data.
`x` | A matrix with the data, where the rows denote the samples (and the two groups) and the columns are the variables. This must be a matrix with the categorical variables as numbers, starting from 1. Poisson or quassi Poisson ANOVA takes place for each column.
`logged` | A boolean variable; it will return the logarithm of the pvalue if set to TRUE.

### Details

Poisson or quassi Poisson ANOVA takes place at each column.

### Value

A matrix with the test statistic and the (logged) p-value for each predictor variable. In the case of the quasi Poisson, the φ is returned as well.

### Author(s)

Michail Tsagris and Manos Papadakis

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

### See Also

`poisson.anova boot.ttest2, ttest2, ftest`

### Examples

    y <- rpois(200, 10)
    x <- matrix(rbinom(200 * 10, 3, 0.5 ), ncol = 10)

[Package Rfast version 2.0.0 Index]