[R] Difficulty replacing NAs using Hmisc aregImpute and Impute

[Greg Blevins]

Hello R experts

I am using Hmisc aregImpute and Impute (following example on page 105 of The
Hmisc and Design Libraries).

*My end goal is to have NAs physically replaced in my dataframe.  I have
read the help pages and example in above sited pdf file, but to no avail.

Here is example of what I did.

Ph, my data frame, is attached.

> xt <-  aregImpute (~ q5 + q22rev02 + q28a, n.impute=10, x=T, data=Ph)
Iteration:1 2 3 4 5 6 7 8 9 10 11 12 13
> impute(xt)

Multiple Imputation using Bootstrap and PMM

aregImpute(formula = ~q5 + q22rev02 + q28a, data = Ph, n.impute = 10,
    x = T)
Method: ace     n= 406  p= 3    Imputations: 10

Number of NAs:
      q5 q22rev02     q28a
       0       88       51

R-squares for Predicting Non-Missing Values for Each Variable
Using Last Imputations of Predictors
q22rev02     q28a
   0.348    0.170
> mean(q28a)
[1] NA

The q28a that the system is looking at still has NAs.

Much appreciate any help!

Greg Blevins
The Market Solutions Group, Inc.