search for: logm

Hi guys, Got a few days left and I need to model a random effect of species on the body mass (logM) and temperature (K) slopes. This is what i've done so far that works: model1<-lme(logSSP~logM + K,random=~1|species,data=data1) model2<-lme(logSSP~logM + K,random=~K|species,data=data1) model3<-lme(logSSP~logM + K,random=~logM|species,data=data1) The one I now want is: model4&lt...

The marilith boxes use a conserver (http://www.conserver.com/) setup for serial access. Our installation exports the logs via http allowing us to grab them with wget. Sending debug keys with is handled separately via xenuse. xenuse ultimately speaks to the conserver too but it abstracts away the IP and port to use so this is preferred. With these changes the correct Serial hostprop for a

...'t work. Would be so great, if somebody could help me with that! That's the code, I used: library(lattice) library(latticeExtra) #[...] attach(mydata) attach(links) #containing the coordinates for the segments fx, fy, tx, ty fx <- fx fy <- fy tx <- tx ty <- ty xyplot(LogN~LogM|factor(surber), par.settings = list(strip.background = list(col = "transparent")), xlab = "Log M", ylab = "Log N", layout = c(6,5), aspect = 1, as.table = TRUE, strip=FALSE, panel=function(x,y){ panel.xyplot(x,y,pch=20,col="black", bg="transparent&quot...

...and the combined effect (TS)(i,k) are random effects whereas the rest are fixed effects. How do I specifiy the random part of the model formula in lme(), especially concerning the combined effect (TS)? Moreover, when I run the model as a fixed effect model I get the following error: > lm(logMed ~ lenAA + TREAT + DYE + SLIDE + SLIDE:DYE,data=MA) Error in lm.fit(x, y, offset = offset, ...) : NA/NaN/Inf in foreign function call (arg 4) However, when I run the model with a reduced data set it works. In the first case I have 16512 data points whereas in the reduced case I use only...

Dear R users, Has anyone implemented a "matrix log" function in R similar to the function logm() in Matlab? I did a quick R site search and browsed the contributed packages to no avail. The octave function is far too simplistic and fails for the Matlab test matrix. Ideally, the code of Cheng, Higham, and Laub (2001) or something similar could be utilized. Just checking before I spend...

As far as I have been able to figure out, dovecot auth always works over a Unix domain socket. I believe it is not currently possible to operate dovecot auth over an Internet domain (TCP) socket. Am I correct? I want to call dovecot's exported authentication from a Java application. Java doesn't natively know how to talk to a Unix domain socket, so there are inconveniences. There

This is it. We''re a mere two shakes of a lamb''s tail from releasing the final version of Rails 1.2. But before we light the fireworks and pop the champaign, we''ll just do one itsy, bitsy, tiny test run. Like wearing protection glasses in downtown Copenhagen on New Year''s. You know, just for precautions. So please do give it a good run. We''re looking

flight 22184 xen-unstable real [real] http://www.chiark.greenend.org.uk/~xensrcts/logs/22184/ Regressions :-( Tests which did not succeed and are blocking, including tests which could not be run: test-amd64-amd64-xl-qemuu-winxpsp3 7 windows-install fail REGR. vs. 22106 test-amd64-i386-xl-win7-amd64 9 guest-localmigrate fail REGR. vs. 22106 Regressions which are regarded as

Dear all: I'm trying to fit the optimal Box-Cox transformation related to nls (see the code below) for the demand of money data in Green (3th Edition) but in the last step R gives the next error message. Error en `[.data.frame`(eval(object$data), , as.character(formula(object)[[2]])[2]) : undefined columns selected. ?Any idea to solve the problem? Thanks in advance,