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2005 Dec 17
2
diagnostic functions to assess fitted ols() model: Confidence is too narrow?!
...t;- ols(Y~rcs(X,3), data=DATA, x=T, y=T)
summary.lm(ols.1) # --> non-linearity is significant
anova(ols.1)
d <- datadist(Y,X)
options(datadist="d")
plot(ols.1)
#plot(ols.1, conf.int=.80, conf.type=c('individual'))
points(X,Y)
scat1d(X, tfrac=.2)
When plotting this confidence interval looks normal:
#plot(ols.1, conf.int=.80, conf.type=c('individual'))
Workstation Windows XP
// R version 2.2 //
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