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.
