Hi all
Certainly there are some problems with the ken.sto function. In addition
there are some considerations that need to be taken into account before
using this code. For instance, it projects the data onto a principal
component space prior sampling. In this case is necessary to check if a PCA
I'm also trying to use the kennard-stone algorithm in the soil.spec package
for my dataset,
(to generate a training and test set from the data, based on this algorithm,
because it's the
most commonly used and well-performing algorithm in QSAR studies) but it's
generating an error:
http://r.789695.n4.nabble.com/file/n3032045/rsv1.txt rsv1.txt
I am very grateful to David's suggestion, here , I upload my dataset
rsv1.txt, also the question,
ks-ken.sto(rsv1,per=TRUE,per.n=0.3,va=FALSE,sav=FALSE)
it does not work, all results are NULL, i do not known why it is ?
hope,
http://r.789695.n4.nabble.com/file/n3031344/RSV.Rdata RSV.Rdata
I want to split my dataset to training set and test set using
kennard-stone(KS) algorithm, it is lucky there is R packages soil.spec to
implement it.
but when I used it to my dataset, it does not work, who can help me, how
reasons
On Nov 7, 2010, at 6:53 PM, bbslover wrote:
http://r.789695.n4.nabble.com/file/n3031344/RSV.Rdata RSV.Rdata
I want to split my dataset to training set and test set using
kennard-stone(KS) algorithm, it is lucky there is R packages
soil.spec to
implement it.
but when I used it to my
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