library(gtools) index <- cbind(combinations(7,2),8) lapply(as.data.frame(t(index)), function(x) mantelhaen.test(table(mydata[,x])))
Taka Matzmoto a écrit : >Hi R users >I have serveral binary variables (e.g., X1, X2, X3, X4, X5, X,6, and X7) and >one continuous variable (e.g., Y1). > >I combined these variables using data.frame() > >mydata <- data.frame(X1,X2,X3,X4,X5,X6,X7,Y1) > >after that, I sorted this data.frame > >rank.by.Y1<-order(mydata[,8]) >sorted.mydata<-mydata[rank.by.Y1,] > >after that, I replaced Y1's values with values ranging from 1 to 10 ( 1 >represents the lowest group on Y1 and 10 presents the hight group on Y1). >Now Y1 becomes a grouping variable. > >What I like to do is to apply mantelhaen.test for each binary variable pair >(e.g, X1 and X2, X1 and X3, X1 and X4, .... , X6 and X7) > >In order to apply mantelhaen.test, a 3-dimensional contingency table is >required. > >Could you provide some advice on how to create a 3-dimensional contingency >table (first dimension represents the first variable of variable pair, >second dimension the second variable of variable pair, and third dimension >represents 1 to 10 ) and apply mantelhaen.test ? > >I looked at arrary, xtabs, table commands but I couldn't figure out yet. > >Thank you > >______________________________________________ >[email protected] mailing list >https://stat.ethz.ch/mailman/listinfo/r-help >PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > > > ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
