We have no idea: This email list strips most attachments. I'm almost certain that you don't need all of your "too large" data to provide a small reproducible example, either. Please see
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example for some ideas on how to do that without requiring attachments. If this is something specific to the package you mention, it might be worthwhile to start by asking the package maintainer for help. Sarah On Mon, Sep 1, 2014 at 3:29 PM, Zilefac Elvis <zilefacel...@yahoo.com> wrote: > Hi, > I have a plotting issue which I am trying to resolve in R. Please load my > attached sample data (I used dput(lapply(sim.summary,head,1)) but the data > are too large) to R, install "Rglimclim" package and run this code which > shows an example plot I would like to change. My main function, "myplot" is > found in the attached R object: > #------------------------------------------------------------------------------------------------------------------------------ > require(Rglimclim) #http://www.ucl.ac.uk/~ucakarc/work/rain_glm.html > myplot(sim.summary,plot.titles="",which.stats="Mean",quantiles=c(0,0.025,0.5,0.975,1), > imputation=obs.summary,which.sites=NULL,which.timescales="daily",colours.sim=c("magenta","darkorchid1","deeppink3","yellow"), > cex.lab=1.4,cex.axis=1.5,ylabs="Precipitation (mm)") > mtext(text=expression(paste(italic(Mean[C]))),font=3, side=3, line=1, > cex=1.3, col="black") > #------------------------------------------------------------------------------------------------------------------------------- > > I would like to remove the colours completely (EXCEPT THE BOLD BLACK COLOUR > BAND) and replace them with line types in R. That is, I want to specify > various inbuilt R line types/line colours/line width for > quantiles=c(0,0.025,0.5,0.975,1). The colours can be removed by setting > colours in colours.sim=c("magenta","darkorchid1","deeppink3","yellow") to > "white". > > Practically, I would like my final code after modifying "myplot" function to > look like: > > #--------------------------------------------------------------------------------------------------------- > myplot(sim.summary,plot.titles="",which.stats="Mean",quantiles=c(0,0.025,0.5,0.975,1), > > imputation=obs.summary,which.sites=NULL,which.timescales="daily",plot.type=c("l","l","l","l","l"), > line.type=c(2,3,4,5,6),linecol.type=c('green4','red','blue','darkorchid1','deeppink3'), > line.width=c(2,2,2,2,2), cex.lab=1.4,cex.axis=1.5,ylabs="Precipitation > (mm)") > mtext(text=expression(paste(italic(Mean[C]))),font=3, side=3, line=1, > cex=1.3, col="black") > #--------------------------------------------------------------------------------------------------------- > > I have 20 such graphs to develop. > Thanks for any inputs. > AT. > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Sarah Goslee http://www.functionaldiversity.org ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
