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
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