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
library(gtools) index <- cbind(combinations(7,2),8) lapply(as.data.frame(t(index)), function(x) mantelhaen.test(table(mydata[,x]))) Taka Matzmoto a ??crit :>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 > >______________________________________________ >R-help at stat.math.ethz.ch mailing list >https://stat.ethz.ch/mailman/listinfo/r-help >PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > > >
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
>
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide!
http://www.R-project.org/posting-guide.html