[R] Selecting / creating unique colours for behavioural / transitional data

[Kingsford Jones]

On Fri, Mar 13, 2009 at 7:19 AM, Ross Culloch <ross.culloch at 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.culloch at 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.culloch at 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 at 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 at 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 at 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 at 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 at 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.
>