Hi Nitin,
It can be solved by splitting your data a bit different. You need more
training data than you have evaluation data, eg :
i1 = 1:400
i2=401:d
Then it works on my computer. No clue as to where the error originates from
though.
Cheers
Joris
On Tue, Jun 1, 2010 at 4:27 PM, Nitin wrote:
Dear All,
I'm getting a error while trying to apply the BreastCancer dataset
(package=mlbench) to kknn (package=kknn) that I don't understand as I'm new
to R.
The codes are as follow:
rm = (list = ls())
library(mlbench)
data(BreastCancer)
library(kknn)
BCancer = na.omit(BreastCancer)
d = di
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