Hi,
The best I've found (but definitely not the best!):
x <- read.table(textConnection("Group Ind Age Trait
1 1 2 21
1 2 1 22
1 2 2 21
1 3 1 24
1 3 2 45
1 4 1 23
1 4 2 26
2 1 1 45
2 1 2 12
2 2 1 25
2 2 2 26
2 3 1 45
2 3 2 43
2 4 1 23
2 4 2 47
"), header=T)
str(x)
'data.frame': 15 obs. of 4 variables:
$ Group: int 1 1 1 1 1 1 1 2 2 2 ...
$ Ind : int 1 2 2 3 3 4 4 1 1 2 ...
$ Age : int 2 1 2 1 2 1 2 1 2 1 ...
$ Trait: int 21 22 21 24 45 23 26 45 12 25 ...
x_grp <- split(x, x$Group)
for (i in 1:length(x_grp)){
plot(x_grp[[i]]$Trait~x_grp[[i]]$Age)
}
There are probably better approaches using lattice.
HTH,
Ivan
Le 10/27/2010 11:21, Rosario Garcia Gil a écrit :
Hello
I have a data set summarized like this:
File name= Height
Group Ind Age Trait
1 1 1 20
1 1 2 21
1 2 1 22
1 2 2 21
1 3 1 24
1 3 2 45
1 4 1 23
1 4 2 26
2 1 1 45
2 1 2 12
2 2 1 25
2 2 2 26
2 3 1 45
2 3 2 43
2 4 1 23
2 4 2 47
.
.
.
I would like to plot Trait ~ Age but a different plot for each Group.
I tried:
plot(Height$Trait ~ Height$Age | Group)
But does not work. Any suggestion?
Thanks
Rosario
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Ivan CALANDRA
PhD Student
University of Hamburg
Biozentrum Grindel und Zoologisches Museum
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ivan.calan...@uni-hamburg.de
**********
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and provide commented, minimal, self-contained, reproducible code.
