Reputation: 217
A great way to visualise the results of a regression in R is the visreg
package. I particularly like the plots that show an interaction with different shades of two colours:
library(visreg)
fit.heat <- lm(Ozone ~ Solar.R + Wind + Temp, data = airquality)
visreg2d(fit.heat, "Wind", "Temp", plot.type = "image")
(from the visreg
documentation)
The two colours used are red and blue.
Question
How can I change the colors? Shades of red and blue don't look too well in black and white print, red and blue can't be distinguished. I would be happy with a scale from blue to white for example. Any chances this can be done?
Upvotes: 0
Views: 2385
Reputation: 168
You can change the color of the graph by adding a colour argument inside visreg2d function. You can for example use one of the standard R palettes such as terrain.colors()
or heat.colors()
or modify/create your own palettes e.g. with the package RColorBrewer (as in the example attached).
visreg2d(model, x="RELATEDNESS", y = "Hs_obs", scale = "response",
xlab = "Relatedness", ylab = "Heterozygosity", main = "Flower abundance",
zlim = c(0,100), col = colorRampPalette(brewer.pal(9,"Reds"))(20))
Upvotes: 2
Reputation: 1540
If you type in
edit(visreg2d)
you will be able to view the color pallet for this function. You can edit here and choose a color combination of your choice.
Upvotes: 2