
ken.sto(inp, per = "T", per.n = 0.3, num, va = "F", sav = "T", path = "", out = "Sel")
per.n
) or a set number (given in num
) of inp
. The default "T"
takes a percentage.inp
or to divide them into a calibration and validation set.sav
is "T"
.ken.sto
returns a list with class "ken.sto"
containing the following components:va
.va
equal to "F"
va
equal to "F"
va
equal to "T"
va
equal to "T"
va
equal to "T"
va
equal to "T"
per.n
having a value of 0.4 while va
equal to "F"
chooses 40 percent of the sample set. When va
is equal to "T"
the validation set comprises 40 percent of the sample set.
A graph is given back showing the selected samples in the principal component space (only the important PC's). This is the same graphic generated by plot.ken.sto
.
ken.sto(inp, per = "T", per.n = 0.3, num, va = "F", sav = "T", path = "", out = "Sel")
plot(ken.sto)(x,...)
Run the code above in your browser using DataLab