Hi, Try this: dat1<-read.table(text=" ind1 ind2 coef 1 1 1 1 2 0.25 1 3 0.125 1 4 0.5 2 2 1 2 1 0.25 2 3 0.125 2 4 0.5 3 3 1 3 1 0.125 3 2 0.125 3 4 0.5 4 4 1 4 1 0.5 4 2 0.5 4 3 0.5 ",sep="",header=TRUE) mat1<-as.matrix(xtabs(coef~ind1+ind2,data=dat1))
# ind2 #ind1 1 2 3 4 # 1 1.000 0.250 0.125 0.500 #2 0.250 1.000 0.125 0.500 #3 0.125 0.125 1.000 0.500 #4 0.500 0.500 0.500 1.000 A.K. ----- Original Message ----- From: AHJ <ahadjixenofon...@med.miami.edu> To: r-help@r-project.org Cc: Sent: Monday, October 1, 2012 12:17 PM Subject: [R] Transform pairwise observations into a table Hi, I have a table of pairs of individuals and a coefficient that belongs to the pair: ind1 ind2 coef 1 1 1 1 2 0.25 1 3 0.125 1 4 0.5 2 2 1 2 1 0.25 2 3 0.125 2 4 0.5 3 3 1 3 1 0.125 3 2 0.125 3 4 0.5 4 4 1 4 1 0.5 4 2 0.5 4 3 0.5 And I want to convert it to a matrix where each individual is both a row and a column and at the intersection of each pair is the coefficient that belongs to that pair: 1 2 3 4 1 1 0.25 0.125 0.5 2 0.25 1 0.125 0.5 3 0.125 0.125 1 0.5 4 0.5 0.5 0.5 1 If table() would allow me to specify something other than frequencies to fill the table with, it would be what I need. I tried a few different combinations of t() and unique() but none of it made enough sense to post as my starting code... I am just lost. Any help would be greatly appreciated. Thank you, AHJ -- View this message in context: http://r.789695.n4.nabble.com/Transform-pairwise-observations-into-a-table-tp4644706.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
