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 ______________________________________________ [hidden email] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html |
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 > >______________________________________________ >[hidden email] mailing list >https://stat.ethz.ch/mailman/listinfo/r-help >PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > > > ______________________________________________ [hidden email] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html |
In reply to this post by Taka Matzmoto
Taka,
Maybe you did something strange when you "replaced Y1's values ....". Is the result a 10-level factor? The following works for me. x1 <- sample(c("y", "n"), 100, replace = TRUE) x2 <- sample(c("a", "b"), 100, replace = TRUE) y <- sample(1:10, 100, replace = TRUE) y <- factor(y) dat <- data.frame(x1, x2, y) dat.xt <- xtabs(~ x1 + x2 + y, data = dat) mantelhaen.test(dat.xt) Peter Ehlers Taka Matzmoto wrote: > 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 > > ______________________________________________ > [hidden email] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html ______________________________________________ [hidden email] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html |
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