Why don't you use something like this to plot without having to
extract the clones:
xyplot(height~year|factor(clone), x, group=code, layout=c(3,2))
On Mon, Apr 6, 2009 at 6:11 PM, Schreiber, Stefan
<stefan.schrei...@ales.ualberta.ca> wrote:
> Hi there,
>
> I hope you guys can help me with the following:
>
> If have a file like this:
>
> year clone code height
> 1995 4 4-1 1
> 1996 4 4-1 2
> 1997 4 4-1 3
> 1995 4 4-2 1
> 1996 4 4-2 2
> 1997 4 4-2 3
> 1995 5 5-1 1
> 1996 5 5-1 2
> 1997 5 5-1 3
> 1995 5 5-2 1
> 1996 5 5-2 2
> 1997 5 5-2 3
> . . . .
> . . . .
> . . . .
>
> 1. I want to analyze the growth of 52 different clones replicated
> 25 times over a period of 19 years. Now I'd like to plot all replicates
> per clone for the given period to compare them.
>
> 2. I did this first to subset all replicates per clone:
>
> dat<-vector('list',52)
> for (i in 1:52){
> dat[[i]]<-subset(x,clone==i)
> }
>
> 3. Now I can plot all replicates per clone quite nicely using this
> command (for example clone 24):
>
> xyplot(ht~year, data=dat[[24]], groups=code,type="o",ylim=c(0,20),
> xlab="Year",ylab="Absolute Height [m]",auto.key=list(space = "right",
> points = FALSE, lines = TRUE))
>
> My question is now whether there is a way to arrange these 52 plots in 6
> plots per page? The argument par(mfrow=c(2,3)) isn't working here. Or
> does someone even has a better suggestion?
>
> THANKS A LOT!
>
> Stefan
>
>
> [[alternative HTML version deleted]]
>
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>
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem that you are trying to solve?
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