[BioC] colors on heatmap

Jean Yee Hwa Yang jean at biostat.ucsf.edu
Fri Sep 12 15:52:28 MEST 2003


Hi all,

This is the similar to the function "maPalette" in the library marrayPlots.

Cheers

Jean

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 Jean Yee Hwa Yang			 jean at biostat.ucsf.edu
 Division of Biostatistics,		   Tel: (415) 476-3368
 University of California,		   Fax: (415) 476-6014
 500 Parnassus Avenue, MU 420-W,  San Francisco, CA 94143-0560
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

On Fri, 12 Sep 2003, Warnes, Gregory R wrote:

> 
> In the next release of the gregmisc packages I'll be including a  couple of
> functions to make colorizing heatmaps easier.  (As well as an enhanced
> heatmap function.)
> 
> First the code:
> 
> 
> # detect odd/even integers
> odd <- function(x) x!=as.integer(x/2)*2
> even <- function(x) x==as.integer(x/2)*2 
> 
> # Generat a set of n colors which smoothly transition from 'low' to 'mid' to
> 'high'.
> colorpanel <- function(n,low='green',mid='black',high='red')
>   {
>     if(even(n)) warning("n is even: colors panel will not be symmetric")
> 
>     # convert to rgb
>     low <- col2rgb(low)
>     mid <- col2rgb(mid)
>     high <- col2rgb(high)
> 
>     # determine length of each component
>     lower <- floor(n/2)
>     upper <- n - lower
>     
>     red  <- c(
>               seq(low[1,1], mid [1,1], length=lower),
>               seq(mid[1,1], high[1,1], length=upper)
>               )/255
> 
>     green <- c(
>                seq(low[3,1], mid [3,1], length=lower),
>                seq(mid[3,1], high[3,1], length=upper)
>                )/255
> 
>     blue <- c(
>               seq(low[2,1], mid [2,1], length=lower),
>               seq(mid[2,1], high[2,1], length=upper)
>               )/255
> 
>              
>     rgb(red,blue,green)
>   }
> 
> 
> 
> # Generate red-black-green colorscale
> redgreen <- function(n) colorpanel(n, 'red', 'black', 'green')
> 
> # Generate green-black-red colorscale
> greenred <- function(n) colorpanel(n, 'green', 'black', 'red' )
> 
> # Generate blue white red colorscale
> bluered  <- function(n) colorpanel(n, 'blue','white','red')
> 
> ----
> 
> The use is straightforward.  To colorize a heatmap green-black-red, simply
> do:
> 
>  x <- matrix(runif(1000), 50, 20)
>  hv <- heatmap(x, col = redgreen(32))
> 
> -Greg
> 
> 
> > -----Original Message-----
> > From: Johannes Freudenberg [mailto:mai98ftu at studserv.uni-leipzig.de]
> > Sent: Friday, September 12, 2003 1:16 PM
> > To: Sean Davis
> > Cc: Bioconductor at stat.math.ethz.ch
> > Subject: Re: [BioC] colors on heatmap
> > 
> > 
> > Sean,
> > 
> > I'm not quite sure what the standard green/black/red color 
> > map is but i'm 
> > assuming that green means low values, red means high values 
> > and black is in the 
> > middle?
> > 
> > You could define a function which returns colors following 
> > that scheme as 
> > follows:
> > 
> > > my.colors <- function(n = 50, low.col = 0.45, high.col=1, 
> > saturation = 1) {
> >   if (n < 2) stop("n must be greater than 2")
> >   n1 <- n%/%2
> >   n2 <- n - n1
> >   c(hsv(low.col, saturation, seq(1,0,length=n1)),
> >      hsv(high.col, saturation, seq(0,1,length=n2)))
> > }
> > 
> > You could then use this function within the heatmap function:
> > 
> > > x <- matrix(runif(1000), 50)
> > > hv <- heatmap(x, col = my.colors(), main = "Random U[0,1] heatmap")
> > 
> > I hope that helps,
> > Johannes
> > 
> > 
> > Quoting Sean Davis <Sean.Davis at dcb.cit.nih.gov>:
> > 
> > > I would like to use "heatmap" to display my data and 
> > wondered if anyone
> > > had any suggestions on making a color scheme that works to 
> > create the
> > > standard green/black/red color map.
> > > 
> > > Thanks
> > > 
> > > _______________________________________________
> > > Bioconductor mailing list
> > > Bioconductor at stat.math.ethz.ch
> > > https://www.stat.math.ethz.ch/mailman/listinfo/bioconductor
> > >
> > 
> > _______________________________________________
> > Bioconductor mailing list
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> > https://www.stat.math.ethz.ch/mailman/listinfo/bioconductor
> > 
> 
> 
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