Hi Iglucia,
I am not sure how your dataset looks like. Does it look similar to this:
> dat4<-data.frame(patient=rep(c(1:10),
> rep(3,10)),var=rep(c("cycle0","cycle1","cycle2"),rep(1,3)),value=c(rnorm(15,1,0.5),NA,rnorm(5,1,0.5),NA,rnorm(8,1,0.5)))
> dat4
patient var value
1 1 cycle0 1.8826827
2 1 cycle1 1.0316985
3 1 cycle2 1.0084754
4 2 cycle0 1.1822553
5 2 cycle1 1.5494087
6 2 cycle2 0.9173749
7 3 cycle0 0.3935503
8 3 cycle1 0.7012282
9 3 cycle2 0.5213031
10 4 cycle0 0.8330390
11 4 cycle1 0.6430550
12 4 cycle2 0.7751283
13 5 cycle0 1.4092714
14 5 cycle1 0.8120330
15 5 cycle2 0.6255491
16 6 cycle0 NA
17 6 cycle1 0.1068520
18 6 cycle2 0.7556006
19 7 cycle0 1.4322698
20 7 cycle1 1.6109262
21 7 cycle2 0.9650534
22 8 cycle0 NA
23 8 cycle1 0.3861208
24 8 cycle2 1.1349206
25 9 cycle0 1.5659958
26 9 cycle1 1.8725942
27 9 cycle2 1.5676570
28 10 cycle0 1.0895054
29 10 cycle1 1.1941775
30 10 cycle2 1.3932515
A.K.
----- Original Message -----
From: lglucia <libgray3...@gmail.com>
To: r-help@r-project.org
Cc:
Sent: Wednesday, June 6, 2012 12:07 AM
Subject: [R] Combine subsets by factor level
I'm attempting to change a data set by compressing rows into columns.
Currently there are several rows that all have information about one
"patient," but at different cycles. I'm trying to make each patient only
have one row in the data set.
Does anyone know a good way to combine data sets by factor level? I've
separated the groups into different subsets by cycle, but not every patient
has data for every cycle (i.e. there are 1200 who have cycle 0, but only 200
of those have a cycle 1, and a different number have cycles higher than
that, etc). I then made the patient number the identifying label. If there
is a way to column-combine these subsets by the factor level of these
patient names, and leave any patients that are missing a cycle as NA?
If anyone has insight on how to do this, or a better way to complete what
I'm trying to do, I'd appreciate it!
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