I\'m trying to create a plot where color represents the combination of several values. In the example below, I am applying increasing values for red associated with the x-co
Since I'm more familiar with ggplot, I'll show a solution using ggplot.  This has the side benefit that, since the ggplot code is very simple, we can focus the discussion on the topic of colour management, rather than R code.
expand.grid to create a data frame dat containing the grid of red and blue input values.rgb() to create the colour mix, and assign it to dat$mixThe code:
dat <- expand.grid(blue=seq(0, 100, by=10), red=seq(0, 100, by=10))
dat <- within(dat, mix <- rgb(green=0, red=red, blue=blue, maxColorValue=100))
library(ggplot2)
ggplot(dat, aes(x=red, y=blue)) + 
  geom_tile(aes(fill=mix), color="white") + 
  scale_fill_identity()

You will notice that the colour scale is different from what you suggested, but possibly more intuitive.
When mixing light, absence of any colour yields black, and presence of all colours yields white.
This is clearly indicated by the plot, which I find rather intuitive to interpret.