search for: obslevels

Hi, I have a data set like this: Mutant Rep Time OD 02H02 1 0 0.029 02H02 2 0 0.029 02H02 3 0 0.023 02H02 1 8 0.655 02H02 2 8 0.615 02H02 3 8 0.557 02H02 1 12 1.776 02H02 2 12 1.859 02H02 3 12 1.668 02H02 1 16 3.379 02H02 2 16 3.726 02H02 3 16 3.367 306 1 0 0.033 306 2

...by the reference choices. refLevels <- unique(input[,ncol(input)])[order( as.numeric(sapply(unique(input[,ncol(input)]), FUN=function(x) sum(as.numeric(unlist(strsplit(x,"")))))), as.numeric(as.vector(unique(input[,ncol(input)]))) )] ## sorted levels generated by the observers choices. obsLevels <- unique(unlist(input[,-c(1,ncol(input))]))[order( as.numeric(sapply(unique(unlist(input[,-c(1,ncol(input))])), FUN=function(x) sum(as.numeric(unlist(strsplit(x,"")))))), as.numeric(as.vector(unique(unlist(input[,-c(1,ncol(input))])))) )] Unfortunately this code does not the trick in...

I'm using caret to assess classifier performance (and it's great!). However, I've found that my results differ between R2.* and R3.* - reported accuracies are reduced dramatically. I suspect that a code change to kernlab ksvm may be responsible (see version 5.16-24 here: http://cran.r-project.org/web/packages/caret/news.html). I get very different results between caret_5.15-61 +

Hi, I am trying to construct a svmpoly model using the "caret" package (please see code below). Using the same data, without changing any setting, I am just changing the seed value. Sometimes it constructs the model successfully, and sometimes I get an ?Error in indexes[[j]] : subscript out of bounds?. For example when I set seed to 357 following code produced result only for 8