Visualizing colors()

October 19, 2012
By

(This article was first published on Fellgernon Bit - rstats, and kindly contributed to R-bloggers)

The other day I learnt about the existance of the colors() vector in R which specifies all the character-based colors like “light blue”, “black”, etc. So I made a simple plot to visualize them all. Here’s the code:

mat <- matrix(1:length(colors()), ncol = 9, byrow= TRUE)
df <- data.frame(col = colors(), 
    x = as.integer(cut(1:length(colors()), 9)),
    y = rep(1:73, 9), stringsAsFactors=FALSE)
plot(y ~ jitter(x), data = df, col = df$col,
    pch=16, main = "Visualizing colors() split in 9 groups",
    xlab = "Group", 
    ylab = "Element of the group (min = 1, max = 73)",
    sub = "x = 3, y = 1 means that it's the 2 * 73 + 1 = 147th color")

And the plot:

Hm… the code should look more pretty (see screenshot below), but Tumblr edits the html code. If you know how to deal with this, let me know.

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