Learn R Programming

miceadds (version 1.5-0)

micombine.F: Combination of F Statistics for Multiply Imputed Datasets Using a Chi Square Approximation

Description

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

Usage

micombine.F(Fvalues, df1, display = TRUE)

Arguments

Fvalues
Vector containing $F$ values.
df1
Degrees of freedom of the denominator. Degrees of freedom of the numerator are approximated by $\infty$ (large number of degrees of freedom).
display
A logical indicating whether results should be displayed at the console

Value

See Also

micombine.chisquare

Examples

Run this code
#############################################################################
# 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(4,67.11)=4.097     p=0.00497 
  ##   Chi Square Approximation Chi2(4)=16.387     p=0.00254

Run the code above in your browser using DataLab