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...ters, but where you can specify a vector of color values. Is there a package that has such functionality already, and if not, what would be most elegant way to approach it? If it matters, I'm running R 2.9.1 on XP 32-bit. Thanks for any suggestions. -- Keith -- Keith Woolner Manager, Baseball Research & Analysis Cleveland Indians 216-420-4625 kwoolner@indians.com [[alternative HTML version deleted]]

...factors being either supported or unsupported. Thank you, again. Keith > Date: Fri, 6 Jun 2008 11:39:27 -0600 > From: "Greg Snow" <Greg.Snow at imail.org> > Subject: Re: [R] How to force two regression coefficients to be equal > but opposite in sign? > To: "Woolner, Keith" <kwoolner at indians.com>, "r-help at r-project.org" > <r-help at r-project.org> > Message-ID: > <B37C0A15B8FB3C468B5BC7EBC7DA14CC60F685895B at LP- > EXMBVS10.CO.IHC.COM> > Content-Type: text/plain; charset=us-ascii > > One simple way...

Hi everyone, Is there a way to take an lm() model and strip it to a minimal form (or convert it to another type of object) that can still used to predict the dependent variable? Background: I have a series of 6 lm() models, each of which are being run on the same data frame of approximately 500,000 rows. I eventually want to predict all 6 of the dependent variables on a new data frame,

Is there a way to set up a regression in R that forces two coefficients to be equal but opposite in sign? I'm trying to setup a model where a subject appears in a pair of environments where a measurement X is made. There are a total of 5 environments, one of which is a baseline. But each observation is for a subject in only two of them, and not all subjects will appear in each

I want to take the first row of each unique ID value from a data frame. For instance > ddTable <- data.frame(Id=c(1,1,2,2),name=c("Paul","Joe","Bob","Larry")) I want a dataset that is Id Name 1 Paul 2 Bob > unique(ddTable) Will give me all 4 rows, and > unique(ddTable$Id) Will give me c(1,2), but not accompanied by the name column.

I've noticed that RODBC seems to be an order of magnitude slower in retrieving rows from a table than ODBC (or JDBC) access in other tools. I'm wondering why that is, and whether there are things I can do to improve performance beyond what I've tried. I've checked the documentation, and have tried the rows_at_time= and buffsize= options, which helped a little, but it is still