On 2010-10-07 12:09, Phil Spector wrote:
Is this what you're looking for?
dat = read.table(textConnection('V1 V2 v3
+ 1 a 1.3
+ 1 a 1.5
+ 1 b 2.0
+ 1 a 2.3
+ 1 a 3.4
+ 1 c 5.5
+ 1 d 6.0
+ 1 a 7.0
+ 2 f 1.5
+ 2 g 1.6
+ 2 f 3.4
+ 2 f 4.0
+ 2 g 4.6
+ 2 c 5.0
+ 2 a 5.3'),header=TRUE)
aggregate(dat$v3,dat[c('V1','V2')],max)
V1 V2 x
1 1 a 7.0
2 2 a 5.3
3 1 b 2.0
4 1 c 5.5
5 2 c 5.0
6 1 d 6.0
7 2 f 4.0
8 2 g 4.6
- Phil Spector
Statistical Computing Facility
Department of Statistics
UC Berkeley
spec...@stat.berkeley.edu
Or with plyr:
require(plyr)
result <- ddply(dat, .(V1,V2), summarize, MAX=max(v3))
-Peter Ehlers
On Thu, 7 Oct 2010, wangguojie2006 wrote:
Dear fellows,
I've been working this problem for a day and still can't see where the
problem is. I really appreciate if anyone can help me out.
My data is like:
V1 V2 v3
1 a 1.3
1 a 1.5
1 b 2.0
1 a 2.3
1 a 3.4
1 c 5.5
1 d 6.0
1 a 7.0
2 f 1.5
2 g 1.6
2 f 3.4
2 f 4.0
2 g 4.6
2 c 5.0
2 a 5.3
What I want to do is to get the max value of V3 for each unique V2 in each
V1. For example, when V1=1, unique V2 is (a, b, c, d), and corresponding max
value of V3 is (7.0, 2.0, 5.5, 6.0). And V1=2, unique V2 is (f, g, c, a) and
max value of V3 is (4.0, 4.6, 5.0, 5.3). Then combinne these max values.
My code is like:
z<-NULL
x<-NULL;y<-NULL
for (j in 1:2)
{
x<-unique(V2[V1==j])
for (i in 1:length(x))
{
y[i]<-max(V3[V2==x[i]& V1==j])
}
z<-c(z,y)
}
length(z)
My problem is the length of z is much bigger than the length of I'm supposed
to get, like above data, I should only get 8 max values. But the code will
return me a number bigger than 8. I'm thinking there might be some
overlapping problem. Can someone help?
Thank you for your time.
Best,
--
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______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.