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Is there any function to show the points like this example of SPSS? http://biostatistic.de/temp/reg.jpg The point size should represent the number of data at this point. with regards Knut Krueger

Dear All, I would like to plot a scalar (e.g. a temperature) on a non-rectangular domain (or even better: I would simply like to be able to draw a contour plot on an arbitrary 2D domain). I wonder if there is any tool to achieve that with R. I did some online search in particular on the list archives, found several queries similar to this one but was not able to find any conclusive answer. I

Hello everybody, I'm a new user of R and I'm working right now with the ACE function from the acepack library. I Have a question: Is there a way to predict new responses using ACE? What I mean is doing something similar to the following code that uses PPR (Projection Pursuit Regression): library(MASS) x <- runif(20, 0, 1) xnew <- runif(2000, 0, 1) y <- sin(x) a <- ppr(x, y,

...t;- rq(y~factor(year)+factor(state)+x1+I(x^2)+I(x^3), tau=0.05, data=data1) s.qr1.05 <- summary(qr.1, se="boot", R=1000)$coefficient ##############error##################### *** caught segfault *** address 0x1de9e000, cause 'memory not mapped' Traceback: 1: .Fortran("xys", as.integer(m), as.integer(n), as.integer(p), as.integer(R), as.integer(m + 5), as.integer(p + 2), as.double(x), as.double(y), as.double(tau), as.double(tol), flag = integer(R), coef = double(p * R), resid = double(m), integer(m), double((m + 5) * (p + 2)), double(m), xx =...

...ause Dovecot to dump all of the configuration parameters it is currently using in a neat, orderly arrangement. This would dramatically help individual users in troubleshooting their own problems, as well as help people on this list help others. It would totally eliminate all of the 'what is xys set to' questions back and forth. But I'm more interested in how it will simply help me to see how I have it configured, and allow me to easily spot conflicting or misconfigured parameters. -- Best regards, Charles

dear R developers---I am running a pure R program on the stock binary debian (ubuntu) 64-bit linux distribution, 3.0.1. for identification, 20abb3a1d917bce52a10dd40cb47b82b /usr/lib/R/bin/exec/R 58ebc91f143f752610c8dbe22182f3f3 /usr/lib/libR.so my R program loads 5 big matrices (about 1GB each)and rbind's them, all on a 16GB machine. alas, in one particular run, I am getting a