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# Transforming a color scale | |
doInstall <- TRUE # Change to FALSE if you don't want packages installed. | |
toInstall <- c("ggplot2", "RColorBrewer", "scales") | |
if(doInstall){install.packages(toInstall, repos = "http://cran.us.r-project.org")} | |
lapply(toInstall, library, character.only = TRUE) | |
# Generate some data | |
nn <- 10000 | |
myData <- data.frame(X = rnorm(nn), | |
Y = rnorm(nn)) | |
myData$Z <- with(myData, X * Y) | |
# Make a standard scatterplot with Z encoded into point colour | |
zp1 <- ggplot(myData, | |
aes(x = X, y = Y, colour = Z)) | |
zp1 <- zp1 + geom_point() | |
zp1 <- zp1 + theme_bw() | |
zp1 <- zp1 + coord_equal() | |
zp1 <- zp1 + scale_colour_gradientn(colours = colorRampPalette(rev(brewer.pal(11, "Spectral")))(1000), | |
breaks = c(-2:2 * 2)) | |
zp1 <- zp1 + ggtitle("Untransformed") | |
print(zp1) | |
# Define a transformation | |
norm_trans <- function(){ | |
trans_new('norm', function(x) pnorm(x), function(x) qnorm(x)) | |
} | |
# Apply transformed colour scale | |
zp2 <- zp1 + scale_colour_gradientn(colours = colorRampPalette(rev(brewer.pal(11, "Spectral")))(1000), | |
trans = 'norm', # Apply the transformation here | |
breaks = c(-2:2)) # Note the change in breaks | |
zp2 <- zp2 + ggtitle("Transformed") | |
print(zp2) |
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