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

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 \phi is returned as well.

Author(s)

Michail Tsagris and Manos Papadakis

R implementation and documentation: Michail Tsagris <[e-mail]> and Manos Papadakis <[e-mail]>

See Also

poisson.anova boot.ttest2, ttest2, ftest

Examples

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