On 2010-12-14 23:57, steven mosher wrote:
Hi,
Next time give folks code to produce a toy sample of your problem
DF<-data.frame(ID=rep(1:5,each=3),Data=rnorm(15),Stuff=seq(1:15))
DF
ID Data Stuff
1 1 2.0628225 1
2 1 0.6599165 2
3 1 0.5672595 3
4 2 -0.5308823 4
5 2 -0.5358471 5
6 2 -0.1414992 6
7 3 -0.1679643 7
8 3 0.9220922 8
9 3 0.8863018 9
10 4 -0.7255916 10
11 4 -1.2446753 11
12 4 0.8165567 12
13 5 0.0925008 13
14 5 -0.8534803 14
15 5 -0.6535016 15
# now I want to select rows where ID = 2 or 5
# Assign DF2 to those elements of DF where the ID variable=2 or 5
DF2<- DF[which(DF$ID==2 | DF$ID==5), ]
Or use subset():
DF2 <- subset(DF, ID %in% c(2,5))
Peter Ehlers
DF2
ID Data Stuff
4 2 -0.5308823 4
5 2 -0.5358471 5
6 2 -0.1414992 6
13 5 0.0925008 13
14 5 -0.8534803 14
15 5 -0.6535016 15
On Tue, Dec 14, 2010 at 10:10 PM, Hrithik R<rit...@yahoo.com> wrote:
Hi,
if I have a dataframe such that
ID Time Earn
1 1 10
1 2 50
1 3 68
2 1 40
2 2 78
2 4 88
3 1 50
3 2 60
3 3 98
4 1 33
4 2 48
4 4 58
.....
....
.....
Now if I have to select the all the rows from the data frame which does not
include rows with certain IDs, say for example (prime) ID == 2& 3, how do
I do
it
Thanks
Rith
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