Greg's reply was just what I needed to get me going. I used his advice to
produce a program which does just what I need. In case it helps someone
else, my program is below.
Mark Na
library(reshape)
data<-read.csv("data.csv")
datam<-melt(data,id=("TREE")) #value = number of individuals
datam<-da
Here is one approach (there are others, some that are probably better, but this
can get you started):
1. rearrange your data so that every insect is a single row with 2 columns: the
tree id and the species (this new dataset will have as many rows as the sum of
the values in the old dataset). T
On Wed, Jul 8, 2009 at 8:54 AM, Mark Na wrote:
> Hi R-helpers,
>
> I have a dataframe (called data) with trees in rows (n=100) and insect
> species (n=10) in columns. My tree IDs are in a column called TREE and each
> species has a column labeled SPEC1, SPEC2, SPEC3, etc...
>
> I wish to randomize
3 matches
Mail list logo
