My data looks like this: (treatments) T1 T2 T3 DK 8 5 3
JP 5 4 1 AS 9 7 4 MK 8 4 4 DK, JP, AS, and MK are 4 different people (blocks) I am using. This is my code so far: > treat<-c("J","J","J","J","U","U","U","U","H","H", "H", "H") > y<-c(8,5,3,5,4,1,9,7,4,8,4,4) > block<-c("DK","JP","AS","MK","DK","JP","AS","MK","DK","JP","AS","MK") > ranks<-matrix(NA,nrow=4,ncol=3) > for (i in 1:4) ranks[i,]<-?????????????????? I know that once I can get the ranks stored I can do a command like below. > summary(aov(as.vector(ranks)~factor(treat)+factor(block))) Can someone help me store the data as ranks? -- View this message in context: http://r.789695.n4.nabble.com/Performing-a-non-parametric-Friedman-Test-tp3939045p3939045.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.