[R] NA's in multiple choice summary table in Hmisc

[Erich Studerus, Psychiatrische Uni-Klinik]

Hi,

I have a set of 30 binary variables measuring side effects after drug 
treatment. Since each subject can have multiple side effects, I want to 
display these side effects in a multiple choice table. I'm using the summary 
and mChoice functions of the Hmisc package, because it produces nicely 
formatted latex tables. My problem is, that table includes a category for 
people who have at least one absent symptom and I don't know how to exclude 
it.

Here's a very easy reproducible example:

library(Hmisc)
Symptom1<-c("Headache","Headache",NA)
Symptom2<-c(NA,"Anxiety",NA)
Symptoms<-mChoice(Symptom1,Symptom2)
summary(~Symptoms,method="reverse")
Descriptive Statistics  (N=3)

+-------------------+-------+
|                   |       |
+-------------------+-------+
|Symptom1 : Headache|67% (2)|
+-------------------+-------+
|    NA             |67% (2)|
+-------------------+-------+
|    Anxiety        |33% (1)|
+-------------------+-------+

Now, I want to either completely exclude the NA category or - if included - 
it should count the number of people who have NA's in all symptoms rather 
than in a single symptom. In the example above, the NA's should be 1 instead 
of 2 cases.
I tried to specify na.include=FALSE but it does not work.

Any help is highly appreciated.

Erich