Hi Martin,
Certainly there are some problems with the "ken.sto" function In
addition there are some considerations that you have to take into account
before using this code. For instance, it projects the data onto a principal
component space prior sampling. In this case you have to a PCA is r
Hi All,
I would like to use Kennard-Stone algorithm for splitting a dataset.
> mydata <- read.csv(url("http://www.ats.ucla.edu/stat/r/dae/binary.csv
"))
> library("soil.spec")
> ken.sto(mydata,per.n=0.3)
Error in ken.sto(mydata, per.n = 0.3) : subscript out of bounds
I found that other people ru
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