R: Many Welch's F-tests

Many Welch's F-tests {Rfast} | R Documentation

## Many Welch's F-tests

### Description

Many Welch's F-tests.

### Usage

    colanovas(y, x, logged = FALSE)

### Arguments

`y` | A numerical vector with the dependent variable.
`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. Welch's F-test is performed for each variable.
`logged` | A boolean variable; it will return the logarithm of the pvalue if set to TRUE.

### Details

For each categorical variable in the x matrix Welch's F test is performed. This is the opposie of `ftests, where there are many dependent variables and one categorical variable.`

### Value

A matrix with the test statistic and the p-value for each predictor variable.

### Author(s)

Michail Tsagris

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

### References

Draper, N.R. and Smith H. (1988). Applied regression analysis. New York, Wiley, 3rd edition.

McCullagh, Peter, and John A. Nelder. Generalized linear models. CRC press, USA, 2nd edition, 1989.

### See Also

`regression, ftests, allbetas, correls`

### Examples

    y <-  rnorm(100)
    x <- matrix( rbinom(100 * 50, 2, 0.5) + 1 , ncol = 50)
    a <- colanovas(y, x)
    x <- NULL

[Package Rfast version 2.0.0 Index]