Dear all,
I've fitted this model with train data
lms <- lm(vd ~ log(v1) + fv2+ fv5+ fv7 )
and predicted over test data using
plms <- predict.lm(lmsub, new=test,interval="predict",
level=0.95,se.fit=TRUE)
I've two questions:
q1: what's the difference between writing interval "predict" or "confidence"
? How are they computed?
Any reference would be appreciated
q2: What's interesting to plot? I've gone through another post, and have
seen the following:
(http://r.789695.n4.nabble.com/help-with-predict-and-plotting-confidence-intervals-td886399.html)
plot( seq(0,6, length.out = 24), plmsub[ ,"fit"] )
lines(seq(0,6, length.out = 24), plmsub[ ,"lwr"],
lty=2)
lines(seq(0,6, length.out = 24), plmsub[ ,"upr"],
lty=2)
But I don't know what to plot with my multiple linear regression.
I also tried plot(plms) but I guess it doesn't have too much sense
Maybe test$vd vs plms$fit? (if this was correct, what's the syntax to
get the fit column of plms? )
Thanks in advance, u...@host.com
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