I think this will do what you want:
dframe <- read.table("your.text.file", <other args as needed> )
mat <- tapply(dframe[,3],dframe[,1:2],c)
On Fri, 30 Jun 2006, Wade Wall wrote:
> I have a text file that I have imported into R. It contains 3 columns and
> 316940 rows. The first column is vegetation plot ID, the second species
> names and the third is a cover value (numeric). I imported using the
> read.table function.
>
> My problem is this. I need to reformat the information as a matrix, with
> the first column becoming the row labels and the second the column labels
> and the cover values as the matrix cell data. However, since the
> read.tablefunction imported the data as an indexed data frame, I can't
> use the columns
> as vectors. Is there a way around this, to convert the data frame as 3
> separate vectors? I have been looking all over for a function, and my
> programming skills are not great.
>
> Thanks in advance
>
> [[alternative HTML version deleted]]
>
>
>
> [ Part 3.23: "Included Message" ]
>
Charles C. Berry (858) 534-2098
Dept of Family/Preventive Medicine
E mailto:[EMAIL PROTECTED] UC San Diego
http://biostat.ucsd.edu/~cberry/ La Jolla, San Diego 92093-0717
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