# m.inf: Calculates the Means and Dispersion In TukeyC: Conventional Tukey Test

## Description

Calculates the means and dispersion for one, two and three factor(s) by `model` and `model.frame` functions.

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24``` ``` m.inf.1a(x, which, dispersion=c('mm', 's', 'se')) m.inf.1b(x, which, dispersion=c('mm', 's', 'se')) m.inf.2a(x, which1, which2, dispersion=c('mm', 's', 'se')) m.inf.2b(x, which1, which2, dispersion=c('mm', 's', 'se')) m.inf.3a(x, which1, which2, which3, dispersion=c('mm', 's', 'se')) m.inf.3b(x, which1, which2, which3, dispersion=c('mm', 's', 'se')) ```

## Arguments

 `x` A `SK` object. `which` The name of the treatment to be used in the comparison. For all the value is determined internally by the package. `which1` The name of the treatment to be used in the comparison. For all the value is determined internally by the package. `which2` The name of the treatment to be used in the comparison. For all the value is determined internally by the package. `which3` The name of the treatment to be used in the comparison. For all the value is determined internally by the package. `dispersion` The dispersion to be considered to the means. The possible vaues are: 'mm' = minimum and maximum, 's' = standart deviation, 'se' = standart deviation of the mean.

## Note

This function is mainly for internal use in the TukeyC package.

## Author(s)

Enio Jelihovschi ([email protected])
Jos<e9> Cl<e1>udio Faria ([email protected])
Ivan Bezerra Allaman ([email protected])

TukeyC documentation built on May 29, 2017, 9:14 p.m.