One option for creating your own palette is #install.packages('epitools') mycols <- colors.plot(locator = TRUE)
then left-click on 15 colors of your liking and then right-click 'Stop'. mycols will be a data.frame with the third column containing the color names. Kingsford On Fri, Mar 13, 2009 at 6:38 AM, Ross Culloch <ross.cull...@dur.ac.uk> wrote: > > Hi Kingsford, > > Thanks for the reply - some of the sets/palettes in the RColorBrewer are > ideal, but the problem with the problem i have is that they only go up to 12 > colours, and i need 15 colours - so i assume the only thing i can do is > create my own palette, but i'm having limited success in trying to work out > how to do this. > > > Kingsford Jones wrote: >> >> Try >> >> #install.packages('RColorBrewer') >> example(brewer.pal, pack='RColorBrewer') >> >> >> hth, >> Kingsford Jones >> >> On Fri, Mar 13, 2009 at 3:20 AM, Ross Culloch <ross.cull...@dur.ac.uk> >> wrote: >>> >>> Dear all, >>> >>> This seems like a simple problem but i've searched the help files and >>> tried >>> various options but failed, so apologies in advance for asking what i'm >>> sure >>> is an easy thing to do! >>> >>> In short, I have displayed behavioural data using the TraMineR package >>> such >>> that there is a colour change between the transition of behaviours, >>> however, >>> all the methods that i have used thus far have given me gradual changes >>> in >>> colour such that it is impossible to tell the difference from several of >>> the >>> behaviours. I have looked in the help section here, and looked at various >>> books and help files in R, but most seem intent on gradual changes in >>> colour >>> for heat, terrain, depth, etc - i may not be looking in the correct >>> places, >>> or perhaps i don't know what i'm looking for, exactly. >>> >>> The code below is the closest i can get to colours being not too similar, >>> but it's still hard to tell apart: >>> >>> col <- rainbow(15,start = 0, end = 1, gamma = 0.5) >>> >>> What i ideally want to do is create a palette with random colours that >>> are >>> no where near one another so that i can tell the 15 different behaviours >>> apart - is this possible? >>> >>> If anyone can help i would be most greatful! >>> >>> Best wishes, >>> >>> Ross >>> -- >>> View this message in context: >>> http://www.nabble.com/Selecting---creating-unique-colours-for-behavioural---transitional-data-tp22492438p22492438.html >>> Sent from the R help mailing list archive at Nabble.com. >>> >>> ______________________________________________ >>> 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. >>> >> >> ______________________________________________ >> 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. >> >> > > -- > View this message in context: > http://www.nabble.com/Selecting---creating-unique-colours-for-behavioural---transitional-data-tp22492438p22495482.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. > ______________________________________________ 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.