View source: R/many_regression_models_correlations.R

Many Welch's F-tests | R Documentation |

Many Welch's F-tests.

```
colanovas(y, x, logged = FALSE)
```

`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. |

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.
```

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

Michail Tsagris

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

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.

```
regression, ftests, allbetas, correls
```

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

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