Dear R-users,  I am trying to run a function of the package âadabagâ (e.g. boosting.cv) in order to determine a proper number of cluster that I would specify later on my KMeans clustering. (I had this idea from: http://www.statsoft.com/TEXTBOOK/stcluan.html)  However, I do have a problem with the âformulaâ parameter of e.g. boosting.cv : I am not familiar with these formulas and my research in the R user guide did not really helped me:  I have 2 columns in my dataset corresponding to 2 âresponseâ variables (x = coordinates along PCA axis 1 and y = coordinates along PCA axis 2 of my raw dataset) and thatâs on these variables that I would like to run the boosting.cv, therefore I tried to define a formula with 2 response variables and no terms but itâs not really explained this way in the R-guide and Iâm not even sure itâs possible.  I also tried by making my KMeans clustering before, applying the cluster number to each row and using this number (recoded  as.character) as a term, but it does not work either.  A quick overview of code / error message if needed :  > form <- as.formula (COORDI_PCA1n2$Dim.1 + COORDI_PCA1n2$Dim.2 ~KMeans) > boosting.cv(form, COORDI_PCA1n2) Error in `[.data.frame`(data, , as.character(formula[[2]])) :  undefined columns selected > boosting.cv(form, COORDI_PCA1n2[, 1:2]) Error in `[.data.frame`(data, , as.character(formula[[2]])) :  undefined columns selected   If anyone has the time to indicate me where Iâm being wrong⦠ With regards [[alternative HTML version deleted]]
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