Hi Trey,
On Sun, Apr 4, 2010 at 4:28 PM, Trey wrote:
>
> In essence, here is what I'm after: When I plot the NMDS ordination, I get a
> cloud of points. To make sense of this cloud I need to differentiate the
> cloud into control and infested sites to see if there is any meaningful
> separation
In essence, here is what I'm after: When I plot the NMDS ordination, I get a
cloud of points. To make sense of this cloud I need to differentiate the
cloud into control and infested sites to see if there is any meaningful
separation. The first 5 plots are "infested", and the second 5 plots are
On Apr 4, 2010, at 3:50 PM, Trey wrote:
I have a data matrix that contains site data for paired infested and
control
plots. For example:
ab ac ad af ag ah
1 .024 x x x x x
2 .9 x x x x x
3 1.5x x x x x
4 2.3x x x x x
I don't know if I understand exactly what you would like to be able to
do. But this is how I would go about it if I understand you
correctly. I would make a data frame out of the points and the code a
dummy variable for the control sites in another column. The I would
use ggplot2 to use the dumm
Here is the code I have used to this point:
> trba<-read.table("c:\\Rdata\\NMDS\\trba.txt",header=T,row.names=1)
> attach(trba)
> trba
>bat<-metaMDS(trba)
plot(bat, display = c("sites"))
Given this simple code and my previous example of the matrix, how would I go
about splitting the data out
I have a data matrix that contains site data for paired infested and control
plots. For example:
ab ac ad af ag ah
1 .024 x x x x x
2 .9 x x x x x
3 1.5x x x x x
4 2.3x x x x x
5 1.0x x x x x
1c.75 x
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