I don't quite see how you can do this as a
3-dimenional graph but will something like this do
what you want?
Note I used xx rather than c for the data.frame name.
plot(x$bas~x$month, type="b", col=1,
ylim=c(min(xx$bas),max(xx$bas)),
xlim=c(max(xx$month),min(xx$month) ))
lines(y$bas~y$month, type="b", col=2)
lines(z$bas~z$month, type="b", col=3)
lines(zz$bas~zz$month, type="b",col=4)
--- stephen sefick <[EMAIL PROTECTED]> wrote:
> station month bas
> 190 5 0.000
> 190 7 1.563
> 190 10 0.000
> 190 11 0.000
> 202 4 18.750
> 202 5 18.750
> 202 7 6.250
> 202 10 4.800
> 202 11 3.125
> 198 4 18.750
> 198 5 31.250
> 198 7 3.125
> 198 10 3.200
> 198 11 12.500
> 205 4 0.000
> 205 5 0.000
> 205 7 0.000
> 205 10 0.000
> 205 11 0.000
>
> c<-read.table("foo.txt", header=TRUE)
> x<-subset(c, station=="190")
> plot(x$bas~x$month, type="b")
> y<-subset(c, station=="198")
> plot(y$bas~y$month, type="b")
> z<-subset(c, station=="202")
> plot(z$bas~z$month, type="b")
> zz<-subset(c, station=="205")
> plot(zz$bas~zz$month, type="b")
>
> I would like to put all of the all of these
> individual line graphs
> into one 3d graph organized by descending station
> (205-190). Does
> anyone know how to do this?
> thanks
>
> Stephen
>
>
>
>
>
> --
> Let's not spend our time and resources thinking
> about things that are
> so little or so large that all they really do for us
> is puff us up and
> make us feel like gods. We are mammals, and have not
> exhausted the
> annoying little problems of being mammals.
>
> -K. Mullis
>
> ______________________________________________
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