R help - Oct 2010 - plot by cathegories within a factor

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

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 ?crit :
> 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
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
-- 
Ivan CALANDRA
PhD Student
University of Hamburg
Biozentrum Grindel und Zoologisches Museum
Abt. S?ugetiere
Martin-Luther-King-Platz 3
D-20146 Hamburg, GERMANY
+49(0)40 42838 6231
ivan.calandra at uni-hamburg.de

**********
http://www.for771.uni-bonn.de
http://webapp5.rrz.uni-hamburg.de/mammals/eng/mitarbeiter.php

Hi:

Here's another take with ggplot2:

library(ggplot2)

# Define the basic plot elements. First argument is the data frame.
# aes() refers to the plot's aesthetics, which refer to the variables
# mapped to specific 'roles' in the plot 'geoms'

g <- ggplot(x, aes(x = Age, y = Trait))
g + geom_point(size = 2.5) + facet_wrap(~ Group) + theme_bw()

geom_point() produces a scatterplot; it picks up its x and y from the
aesthetics in g. The default point size in geom_point() is 2, which I upped
a bit. facet_wrap() produces individual plots by group; it serves the same
purpose as the conditioning variable in lattice. The default theme in
ggplot2 is to produce a grey background; theme_bw() changes the background
to white and changes a few other defaults.

HTH,
Dennis

On Wed, Oct 27, 2010 at 2:21 AM, Rosario Garcia Gil <
M.Rosario.Garcia@genfys.slu.se> wrote:
> 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
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
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