On Fri, Mar 13, 2009 at 7:19 AM, Ross Culloch <ross.cull...@dur.ac.uk> wrote: > > Many thanks yet again for your reply, thanks for that method, i gave it a go > and i checked 'mycols' and sure enough it had selected the chosen colours > and listed their names, but when i used it for making the graph warnigs > informed me that the supplied colour in not numeric or character.
The data frame holds is storing the colors as class factor. You'll need to convert to character. Note > mycols <- colors.plot(T) > str(mycols$color.names) Factor w/ 4 levels "blue","green",..: 3 4 2 1 > str(as.character(mycols$color.names)) chr [1:4] "tomato1" "yellow1" "green" "blue" hth, Kingsford > > Ross > > > > Kingsford Jones wrote: >> >> 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. >> >> > > -- > View this message in context: > http://www.nabble.com/Selecting---creating-unique-colours-for-behavioural---transitional-data-tp22492438p22496241.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.