inverse table
Hi Patrizio,
maybe there is a more efficient way, but you can loop over rows and columns
like this
ab.recon <- data.frame()
ddd.rownames <- rownames(ddd)
ddd.colnames <- colnames(ddd)
for(cur.row in ddd.rownames){
for(cur.col in ddd.colnames){
times.found <- ddd[cur.row, cur.col]
tmp.df <- data.frame(a = rep(cur.row, times.found),
b = rep(cur.col, times.found))
ab.recon <- rbind(ab.recon, tmp.df)
}
}
Hope this helps
Ulrik
On Wed, 15 Jun 2016 at 18:12 Patrizio Frederic <frederic.patrizio at gmail.com>
wrote:
Dear R-users, I've a problem that puzzle me suppose I have a two way contigency table a <- sample(al <- letters[1:10],100,T) b <- sample(bl <- LETTERS[1:5],100,T) ab <- cbind(a,b) ddd <- (xtabs(data = ab)) ddd <- as.matrix(ddd) the question is: how do I reverse the code, thus how do I get raw data (object ab) from ddd? I've tried as.data.frame.table(ddd) which is not the answer I'm looking for. Thanks in advance, PF -- +--------------------------------------------------------------- | Patrizio Frederic, | http://morgana.unimore.it/frederic_patrizio/ +--------------------------------------------------------------- [[alternative HTML version deleted]]
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