On Fri, 22 Apr 2011, Jim Lemon wrote:
On 04/22/2011 12:48 PM, Tyler Hayes wrote:
Hi Everyone:
I'm going a little nuts here and am hoping someone might have some
ideas to help out. Here is my problem:
I am using the calendarHeatMap function
(http://blog.revolutionanalytics.com/2009/11/charting-time-series-as-calendar-heat-maps-in-r.html)
to plot some values of percentages above or below a watermark. In
other words, I have a time series whose data can range arbitrarily
from -0.34 to +1.9, for example.
However, for the visualization to be effective, I need to be able to
distinguish conclusively where the division between positive and
negative takes place. My original thought was to just modify the
colorRampPalette function inputs to achieve the effect. Unfortunately,
because of the smooth blending, it washes out the middle. Not to
mention the middle of the colour range is not always zero.
What I would to do is concatenate two colour ranges such that:
bright red (max negative) -> dark red (min negative)
dark green (min positive) -> chartreuse (max positive)
I know, chartreuse. Not to mention the fact that the these ranges will
change with each dataset I apply. Now, believe me, I have tried
searches for colorramp range, positive, and so on, but can't seem to
find a smoking gun that will work with the function above. I came
across the ggplot package as well, which looks promising (book ordered
and en route), but I believe this function uses a different graphic
methodology.
Hi Tyler,
Have a look at the third example in the color2D.matplot function in the
plotrix package.
See also ?diverge_hcl in the "colorspace" package. The underlying ideas
are described in
Achim Zeileis, Kurt Hornik, Paul Murrell (2009). Escaping RGBland:
Selecting Colors for Statistical Graphics. Computational Statistics &
Data Analysis, 53, 3259-3270. doi:10.1016/j.csda.2008.11.033
A preprint version is available from my web page.
Best,
Z
Jim
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