see the hatvalues function in the car package. also, I highly recommend john's CAR book. there's a new edition that came out a year or so ago.
On Fri, Jul 19, 2013 at 6:14 PM, Noah Silverman <noahsilver...@ucla.edu>wrote: > Hello, > > I'm working on some fairly standard regression models (linear, logistic, > and poisson.) Unfortunately, the data is rather messy. > > A visual inspection, using either a histogram or a density plot indicates > some significant outliers. Furthermore, summary statistics of the data > indicate the same thing. > > If I fit a linear regression in R using the "lm" command, I can then plot > the model to look at residuals, etc. > > I'm interesting in re-fitting the model with a N% of the high leverage > points removed. (Large data set, want to fit "most" of the data.) > > Is there a computational way to get the leverage for each data point? > That way I can subset the data skipping N% of the highest leverage ones. > > > Thanks! > > > -- > Noah Silverman, M.S., C.Phil > UCLA Department of Statistics > 8117 Math Sciences Building > Los Angeles, CA 90095 > > ______________________________________________ > R-help@r-project.org mailing list > 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. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list 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.
