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...in a .csv format for R to perform the function? I know it?s seems a trivial problem but I just cant seem to get my had around it and its the first step to start the analysis. Any guidance would be really helpful! Thanks. oh yes - I am an MSc student in aquaculture investigating land use values in mangrove environments. Sakchai McDonough -- View this message in context: http://r.789695.n4.nabble.com/Multinomial-Logit-data-arrangement-tp4492173p4492173.html Sent from the R help mailing list archive at Nabble.com.

...====================================== %%%%% Ulf Mehlig <umehlig at zmt.uni-bremen.de> %%%%!%%% Projekt "MADAM" <umehlig at uni-bremen.de> %%%% %!% %%%% ---------------------------------------------------- ---| %%% MADAM: MAngrove | Center for Tropical Marine ||--%!% Dynamics | Biology || And | Fahrenheitstrasse 1 _ /||\_/\_ Management | / / \ \ ~~~~~~~~~~~~~~~~~ | 28359 Bremen/Germany ~~~~~~~~~~~~~~~~~~~~ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-...

...> 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(157...

...====================================== %%%%% Ulf Mehlig <umehlig at zmt.uni-bremen.de> %%%%!%%% Projekt "MADAM" <umehlig at uni-bremen.de> %%%% %!% %%%% ---------------------------------------------------- ---| %%% MADAM: MAngrove | Center for Tropical Marine ||--%!% Dynamics | Biology || And | Fahrenheitstrasse 1 _ /||\_/\_ Management | / / \ \ ~~~~~~~~~~~~~~~~~ | 28359 Bremen/Germany ~~~~~~~~~~~~~~~~~~~~ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-...

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

...gdsfmt (0.9.6), geosphere (1.2-27), GeoXp (1.5.6), GLDEX (1.0.4.3), gMCP (0.7-8), GSM (1.3), hive (0.1-14), HLMdiag (0.1.5), HumMeth27QCReport (1.2.13), ibr (1.4.1), LaplacesDemon (12.03.05), lattice (0.20-5), lattice (0.20-6), lifecontingencies (0.9.1), lifecontingencies (0.9), lubridate (1.1.0), Mangrove (1.1), matrixStats (0.4.4), maxLik (1.1-2), meboot (1.1-4), MHadaptive (1.1-7), miRtest (1.2), mondate (0.9.9.03), multcomp (1.2-12), multitable (1.3), MVA (1.0-3), networkDynamic (0.2-2), np (0.40-13), npRmpi (0.40-13), openair (0.5-23), OpenCL (0.1-2), pheatmap (0.6.1), pks (0.2-0), planar (1.2),...