# micombine.F: Combination of F Statistics for Multiply Imputed Datasets... In miceadds: Some Additional Multiple Imputation Functions, Especially for 'mice'

## Description

Several F statistics from multiply imputed datasets are combined using an approximation based on χ^2 statistics (see `micombine.chisquare`).

## Usage

 `1` ```micombine.F(Fvalues, df1, display = TRUE, version=1) ```

## Arguments

 `Fvalues` Vector containing F values. `df1` Degrees of freedom of the numerator. Degrees of freedom of the numerator are approximated by ∞ (large number of degrees of freedom). `display` A logical indicating whether results should be displayed at the console `version` Integer indicating which calculation formula should be used. The default `version=1` refers to the correct formula as in Enders (2010), while `version=0` uses an incorrect formula as printed in Allison (2001). The incorrect calculation `version=0` was included in miceadds versions smaller than version 2.0. See also http://statisticalhorizons.com/wp-content/uploads/2012/01/combchi.sas.

## Value

The same output as in `micombine.chisquare`

## Author(s)

Alexander Robitzsch

## References

Allison, P. D. (2002). Missing data. Newbury Park, CA: Sage.

Enders, C. K. (2010). Applied missing data analysis. Guilford Press.

`micombine.chisquare`
 ```1 2 3 4 5 6 7 8 9``` ```############################################################################# # EXAMPLE 1: F statistics for 5 imputed datasets ############################################################################# Fvalues <- c( 6.76, 4.54, 4.23, 5.45, 4.78 ) micombine.F(Fvalues, df1=4 ) ## Combination of Chi Square Statistics for Multiply Imputed Data ## Using 5 Imputed Data Sets ## F(4, 52.94)=3.946 p=0.00709 ```