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 is it, below, it is my code, and my data in the attachment. ks<-ken.sto(x,per="TRUE",per.n=0.3,va="FALSE",sav="FALSE") ks % results $`Chosen sample names` NULL $`Chosen row number` integer(0) $`Chosen calibration sample names` [1] "NULL" $`Chosen calibration row number` [1] "NULL" $`Chosen validation sample names` [1] "NULL" $`Chosen validation row number` [1] "NULL" attr(,"class") why it is all NULL ? and > ks<-ken.sto(x,per="TRUE",per.n=0.3,va="TRUE",sav="FALSE") Error in val.min[i] <- blub[sample(length(blub), 1)] : replacement has length zero In addition: Warning message: In min(prco[-cal.start.n, i]) : no non-missing arguments to min; returning Inf if I set va="TRUE", appearing the errors. I hope some friends can help me ! -- View this message in context: http://r.789695.n4.nabble.com/help-kennard-stone-algorithm-in-soil-spec-packages-does-not-work-for-my-dataset-tp3031344p3031344.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
