Erich Studerus wrote:
Thank you so much. I have yet another problem that I could not resolve from
the documentation. I want to get line breaks for long variable names.
Here's an example:
Gender<-sample(c("m","f"),20,replace=TRUE)
Education<-rnorm(20,13)
label(Education)<-"Years of\nEducation"
summary(Gender~Education,method="reverse")
Descriptive Statistics by Gender
Descriptive Statistics by Gender
+---------+--------------+--------------+
| |f |m |
| |(N=12) |(N=8) |
+---------+--------------+--------------+
|Years of |12.5/12.9/13.9|12.5/12.9/13.5|
|Education| | |
+---------+--------------+--------------+
As you can see, it works fine for the printing in R, but when I submit this
table to the latex-function the \n gets removed. How can I prevent this?
Regards
Erich
That would take very special treatment in LaTeX; it's not that simple.
Frank
-----Ursprüngliche Nachricht-----
Von: Frank E Harrell Jr [mailto:[EMAIL PROTECTED]
Gesendet: Donnerstag, 9. Oktober 2008 04:17
An: Erich Studerus, Psychiatrische Uni-Klinik
Cc: r-help@r-project.org
Betreff: Re: [R] NA's in multiple choice summary table in Hmisc
Erich Studerus, Psychiatrische Uni-Klinik wrote:
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
Instead of NA put '' or "" and it should work.
Frank
--
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University
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