Hello, R-fellows,
I have a question that I really don't know how to solve. I have spent hours
on line surfing for possible solutions but in veil. Please if anyone could
help me handle this issue, you would be so appreciated!
I have a "grouped" dataset like this:
> data
Study TX AEs N
1 1 1 3 5
2 1 0 2 7
3 2 1 1 10
4 2 0 2 7
5 3 1 1 8
6 3 0 1 4
where Study is the study id, TX is treatment, AEs is how many people in
this trial is positive, and N is the number of the subjects. Therefore, for
the row 1, it stands for: It is the treatment arm for the study one, where
there are 5 subjects and 3 of them are positive. The row 2 stands for: It
is the control arm of the study 1 where there are 7 subjects and 2 of them
are positive.
Now I would like to "un-group them", make it like:
Study TX AEs
1 1 1
1 1 1
1 1 1
1 1 0
1 1 0
1 0 1
1 0 1
1 0 0
1 0 0
1 0 0
1 0 0
1 0 0
2 1 1
.....................
.....................
But I wasn't able to do it. In fact I wrote a small function, and use
"lapply" to get what I want. It worked well, and did give me what I want.
But I wasn't able to collapse all the returns into one single data frame
for subsequent analysis.
The function I wrote:
subset = function(i){
d = c(rep(data[i,1], data[i,4]), rep(data[i,2], data[i,4]), rep(0:1,
c(data[i,4] - data[i,3],data[i,3])))
d = matrix(d, data[i,4],3)
d
}
then:
Data = lapply(1:6, subset)
Data
Therefore, I tried to write a loop. But no matter how I tried, I can't get
what I want.
Any idea?
Thank you so much!
Best,
--
Cheenghee Masaki Koh, MSW, MS(c), PhD Student
School of Social Service Administration
Department of Health Studies, Division of Biological Science
University of Chicago
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