Hi all, I am stuck on outlier, while doing regression analysis. I done up to
modelling ,I got lm model for each y and x.
Now I want to find out outlier in that models. How do I find out outlier and
remove them.
for(i in 1:10){
t1=print(outlierTest(fitted.modely1.temp.l ,cutoff=0.05, n.max=1, order=TRUE))
print(outlierTest(fitted.modely2.avg.pcp,cutoff=0.05, n.max=1, order=TRUE))
outlierTest(fitted.modely3.bshc,cutoff=0.05, n.max=1, order=TRUE )
outlierTest(fitted.modely4.bsco ,cutoff=0.05, n.max=1, order=TRUE)
outlierTest(fitted.modely5.gets ,cutoff=0.05, n.max=1, order=TRUE)
outlierTest(fitted.modely6.gimep,cutoff=0.05, n.max=1, order=TRUE )
outlierTest(fitted.modely7.ts ,cutoff=0.05, n.max=1, order=TRUE)
outlierTest(fitted.modely8.imp ,cutoff=0.05, n.max=1, order=TRUE)
outlierTest(fitted.modely9.maf ,cutoff=0.05, n.max=1, order=TRUE)
i<-i+1
}
fix(xsys)
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
