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...g R commands: data <- read.table("cluster.txt") dataMatrix <- t(data) I then tried to cluster using the following: xcl <-cclust(dataMatrix,2,20,verbose=TRUE,method="kmeans") when I run this i receive the following error message: Error in x[rank(runif(xrows))[1:ncenters], ] : incorrect number of dimensions I would be grateful for any pointers in the right direction Thanks for your help Saurabh [[alternative HTML version deleted]]

...as all variables used are columns of the design data frame. For one function, I would like to incorporate a dummy variable for center points that is not a column of the design. Without this function, it would work like this (at least version 0.97 of package FrF2): require(FrF2) plan <- FrF2(8,4,ncenter=6) y <- rnorm(14) r.plan<-add.response(plan,y) lm(y~A+B+C+D+!iscube(r.plan), r.plan) Building the formula from within function formula.design works OK at first sight: > formula(r.plan) y ~ A + B + C + D + (!iscube(r.plan)) However, using the formula in a linear model call does not work i...

Hi Everyone, I found the doe.base package and the FrF2 package to do nice experimental planning and I'm very happy about this tool I was looking for such a long time. But I still try to find out how to add center points to a full factorial design. The FrF2-package has a center point option but is just supporting fractional designs? Is there a possibility to have center points within the