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Dear all, I am having a hard time attempting to do a multinomial logit modeling in R. I am trying to analyze a dataset whereby there are 3 scenarios with 4 difference choice parameters. In particular ? I am having a hard time arranging this into a .csv format. What sorts of headings should I put in the column headers to reflect the variables and parameters for the total number of choice made

Excuse me, if the following is FAQ or nonsense, I'm new to R (and the list)! After trying to import a textfile of 184897 Bytes, R (v0.63.0 on Linux 2.0.35/DLD 5.4) gives the following error message: > read.table ("db.out") Error: heap memory (1953 Kb) exhausted [needed 150 Kb more] > Is there a possibility to increase

...> xyplot(tmx~frequ|as.factor(as.numeric(spf)),groups=as.factor(blm), > data=tmx,type="l",pch=16,xlab="frequency (N)",ylab="Area held (ha)", > auto.key=list(blm,points=F,lines=T,title="Blm factor",cex.title=0.7, > cex=0.7,corner=c(1,1)),main="Mangroves target=1573ha",layout=c(2,3)) > > I would like to add a horizontal line to each one of the 5 graphs > with a single value, v=1573 Try using a custom panel function, something like: mypanelfn <- function(x,y,...) { panel.xyplot(x=x, y=y, ...) grid.lines(c(0,1), unit(rep(1573...

I have a similar question, I know about --vsize, but I use R under Emacs using ESS. I know there is an easy way to call R from ESS with command line options but I don't remember how. I can't find help on this in ESS documentation or in R documentation. Could someone please remind me how this is done. ------------------------------------ | Robert Denham | |

Hi, I'm trying to customize a window with 2 graphs. I'm able to do the first one with something like this general example par(mfrow=c(1,2),cex.axis=0.85,cex.lab=0.80,mai=c(1.3,1,0.5,0),las=3) bplot<-barplot(bar.values,names.arg=cf.names,width=0.5,ylab="% Area held") abline(h=0.3,lty=3,col="red") abline(h=0.1,lty=3,col="blue")

Johannes Huesing sent a message to stat-lisp-news at stat.umn.edu regarding an article in Linux-Magazin (German) on statistical software for Linux. I enclose excerpts. Can anyone summarize what was said about R in the article? If there is a web site for the article I would appreciate learning of the URL. I must admit, though, the my abilities in German are much less impressive than the

CRAN (and crantastic) updates this week New packages ------------ * EffectStars (1.0) Maintainer: Unknown Author(s): Gunther Schauberger License: GPL-2 http://crantastic.org/packages/EffectStars The package provides functions to visualize regression models with categorical response. The effects of the covariates are plotted with star plots in order to allow for an optical