On 02/08/2010 08:57 AM, kerimcan wrote:
Hi,
I have searched for a solution but I failed to find an answer. I am hoping
you may be able to help me.
I have a data set where I have observations for a number of units (n =~40)
over a period of time (t =~100) and I have a variable (Z) that codes a
categorical variable for each observation. I want to produce a 2D plot where
time is on the x-axis and units are on the y-axis. Then each block on the
2-d plot should take a color depending on variable Z. Z is not ordered so
using a scale (like in heatmaps) does not make sense. In fact the values of
Z have meanings that are intuitively related to colors (e.g. Z=3 means
involvement by the "United Nations" so I want its color to be "blue"). Below
is some code that gives an example of what I am aiming to do and why
"heatmap" and "image" functions don't work for me. Thanks in advance for
your help.
# Example: Suppose Z had 3 values (0,1,2) and I had 8 observations.
hitmep<- matrix(c(0,2,1,0,2,1,1,0),2,4)
# Graph 1:
heatmap(hitmep2, Rowv =NA, Colv =NA, labrow =NULL, scale ="none")
# Graph 2:
image(t(hitmep2), axes =FALSE)
# I like the layout of the plots. My problem with these is that I don't want
Z's values (0,1,2) to have colors on a scale. I want to specify, for
example, 1="blue", 2="yellow" and 3="green". Do you know how to do this?
Hi Kerim,
You can do this with color2D.matplot (plotrix) as well as with image or
heatmap. Just pass the desired color vector as the "cellcolors" argument.
Jim
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