[R] colours in a pdf

Gavin Blackburn gavin.blackburn at strath.ac.uk
Fri May 4 14:18:23 CEST 2012


Thanks Petr, I'll take a look at that as well.

Cheers,

Gavin.

-----Original Message-----
From: Petr PIKAL [mailto:petr.pikal at precheza.cz] 
Sent: 04 May 2012 13:09
To: Gavin Blackburn
Cc: r-help at r-project.org
Subject: Re: [R] colours in a pdf

Hi

One option for substantial distinguishable range of colours is jet.colors 
from matlab package.

Regards
Petr
 

> Hi,
> 
> Thanks for the help. Extending the palette to 16 or 20 would be a big 
> help. The largest number of files I've had to handle in a single group 
is 
> 42 and I wouldn't expect it to get much bigger than that.
> 
> I'll take a look at RColorBrewer.
> 
> Cheers,
> 
> Gavin.
> 
> -----Original Message-----
> From: R. Michael Weylandt [mailto:michael.weylandt at gmail.com] 
> Sent: 04 May 2012 12:43
> To: Gavin Blackburn
> Cc: r-help at r-project.org
> Subject: Re: [R] colours in a pdf
> 
> How many colors are you looking for? There are limits to how many the
> eye can make out, but perhaps the RColorBrewer package would be a
> place to start. Also check out: http://colorbrewer2.org/
> 
> To see all the builtin colors, you can simply use the colors()
> function, but your viewer won't be able to distinguish most of them.
> 
> Michael
> 
> On Fri, May 4, 2012 at 7:39 AM, Gavin Blackburn
> <gavin.blackburn at strath.ac.uk> wrote:
> > Hi,
> >
> > I'm plotting PDFs and have a problem. If I have more than 8 sources of 

> data the colours are repeated. These plots are used to remove poor data 
> from the sets so it would be helpful if I could expand the colour range. 

> Is there any way to do this?
> >
> > The plots are coloured by defining a vector 
colsVec<-1:(length(mzXMLfiles))
> >
> > And defined in the loop for (file in 1:length(mzXMLfiles))
> >
> > as col=file
> >
> > The legend is then coloured using the same vector using col=colsVec
> >
> > Any help would be greatly appreciated. At the moment I have to break 
up 
> data into sets of 8 and hope that a large number of those are good data 
> sets so I have an aid to identify bad sets.
> >
> > Thanks,
> >
> > Gavin.
> >
> > Dr. Gavin Blackburn
> > SULSA Technologist
> >
> > Strathclyde institute of Pharmacy and Biomedical Science
> > 161 Cathedral Street,
> > Glasgow.
> > G4 0RE
> >
> > Tel: +44 (0)1415483828
> >
> > ScotMet: The Scottish Metabolomics Facility
> > www.metabolomics.strath.ac.uk<http://www.metabolomics.strath.ac.uk>
> >
> >
> >        [[alternative HTML version deleted]]
> >
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