Displaying 1 result from an estimated 1 matches for "pid50train".
2010 Jul 16
3
Help with Sink Function
...t.kknn <- kknn(pID50~., miceTrainSample, miceTestSample)
table(miceTestSample$pID50, fit.kknn$fit)
(fit.train1 <- train.kknn(pID50~., miceTrainSample, kmax=15,
kernel=c("rectangular"), distance=1))
predictedTrain <- predict(fit.train1, miceTrainSample,
miceTrainSample$pID50)
pID50Train <- miceTrainSample$pID50
lmTrain <- lm(predictedTrain~pID50Train)
slm <- summary(lmTrain)
str(slm)
if (i == 1)
{
previousR2 <-slm$r.squared
sink(file="R2outputKKNN.txt", append=TRUE)
previousR2
sink()
}
else if(i!=1)
{
currentR2 <- slm$r.squared...