[R] Kennard-stone or other uniform subset sampling algorithm?

Is there any package in R which performs something like the Kennard-Stone uniform mapping algorithm (a.k.a. uniform subset selection)? I've used Rseek.org to search the R-help archives and other resources, and found only the following two mentions. http://tolstoy.newcastle.edu.au/R/e2/help/

[R] How to create a "heatline" -- heatmap in one dimension?

Hi, I'm trying to create a "heatmap" that is just a line segment. That is, a graphic that shows an interval and how a dependent variable varies along that interval, with the value of the dependent variable shown by color rather than on a y-axis. The image() function produces something cl

[R] How to force two regression coefficients to be equal but opposite in sign?

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 o

[R] Systemfit (was RE: How to force two regression coefficients to be equal but opposite in sign?)

i, 6 Jun 2008 11:39:27 -0600 > From: "Greg Snow" <[EMAIL PROTECTED]> > Subject: Re: [R] How to force two regression coefficients to be equal > but opposite in sign? > To: "Woolner, Keith" <[EMAIL PROTECTED]>, "r-help@r-project.org" &

Re: [R] Systemfit (was RE: How to force two regression coefficients to be equal but opposite in sign?)

n for your patience and assistance. Keith > -Original Message- > From: Arne Henningsen [mailto:[EMAIL PROTECTED] > Sent: Tuesday, June 10, 2008 2:33 AM > To: r-help@r-project.org > Cc: Woolner, Keith > Subject: Re: [R] Systemfit (was RE: How to force two regression &g

[R] More compact form of lm object that can be used for prediction?

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 approximatel

Re: [R] More compact form of lm object that can be used for prediction?

> From: Marc Schwartz [mailto:[EMAIL PROTECTED] > Sent: Friday, July 11, 2008 12:14 PM > > on 07/11/2008 10:50 AM Woolner, Keith wrote: > > Hi everyone, > > > > > > > > Is there a way to take an lm() model and strip it to a minimal form (or > > conv

Re: [R] More compact form of lm object that can be used for prediction?

> From: Marc Schwartz [mailto:[EMAIL PROTECTED] > Sent: Friday, July 11, 2008 4:54 PM > > on 07/11/2008 02:02 PM Woolner, Keith wrote: > >> From: Marc Schwartz [mailto:[EMAIL PROTECTED] > >> Sent: Friday, July 11, 2008 12:14 PM > >> > >> on 07

[R] RODBC performance seems slow

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