Thank you very much! works perfectly!
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Forgot, you can also do this:
> dcast(x.m, Cluster ~ value, fun = length)
Cluster ind1 ind2 ind3
1 1110
2 2101
3 3110
>
On Sat, Dec 3, 2011 at 7:02 PM, jim holtman wrote:
> try this:
>
>> x <- read.table(text = "Cluster Member1 Member
try this:
> x <- read.table(text = "Cluster Member1Member2
+ 1ind1 ind2
+ 2ind3 ind1
+ 3ind2 ind1", as.is = TRUE, header = TRUE)
> require(reshape2)
> x.m <- melt(x, id = "Cluster")
> x.m
Cluster variable value
1 1 Me
Pivot tables are an Excel concept, not an R concept.
That means you must give an example of your starting pivot table as an R
object (use dump() so we can pick it up from the email and execute it
immediately).
and an example of the R object you want as the result.
Use a trivial but complete exampl
Hello R-users,
I've got a huge table with about 20.00 rows and 50 columns. The table now
has headers as Members1, Members2 etc. My data are 8 different individuals.
And I've got a column with clusters. So each individual belongs to different
clusters and can occurs multiple times within a cluster
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