I'll look at that today.

Thank You,


--
Noah Silverman, C.Phil
UCLA Department of Statistics
8117 Math Sciences Building
Los Angeles, CA 90095

On Jul 19, 2013, at 4:13 PM, Mark Leeds <marklee...@gmail.com> wrote:

> 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
> 
> ______________________________________________
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