I've been using the ggplot2 package a lot recently. When creating a legend or tick marks on the axes, ggplot2 uses the levels of a character or factor vector. Most of the time, I am working with coded variables that use some abbreviation of the "true" meaning (e.g.
png("goodbye.png", height = 625, width = 500)

par(col = "purple")

plot(1, 1, xlim = c(0,800), ylim = c(0,1600), type = "n", bty = "n", xaxt = "n", yaxt = "n", xlab = "", ylab = "")

symbols(x = 400, y = 1200, circles = 400, add = T, lwd = 40)

lines(x = c(400, 400), y = c(900, 100), lwd = 40, lend

png("goodbye.png", height = 625, width = 500)
par(col = "purple")
plot(1, 1, xlim = c(0,800), ylim = c(0,1600), type = "n", bty = "n", xaxt = "n", yaxt = "n", xlab = "", ylab = "")
symbols(x = 400, y = 1200, circles = 400, add = T, lwd = 40)
lines(x = c(400, 400), y = c(900, 100), lwd = 40, lend = 1)
lines(x = c(480, 320), y = c(500, 500), lwd = 40, lend = 1)
polygon(x = c(400, 480, 400, 320, 400), y = c(-20, 200, 100, 200, -20), col = "purple", border = "purple")
polygon(x = c(450, 500, 500, 450), y = c(500, 600, 400, 500), col = "purple", border = "purple")
polygon(x = c(350, 300, 300, 350), y = c(500, 600, 400, 500), col = "purple", border = "purple")
curve(expr = 100*log(x)+250, from = 100, to = 700, add = T, lwd = 40, lend = 1)
polygon(x = c(600, 750, 720, 750, 600), y = c(900, 1100, 900, 700, 900), col = "purple", border = "purple")
symbols(x = 100, y = 620, circles = 50, add = T, lwd = 40, inches = F, bg = "purple")

dev.off()
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R is great, and you can do a LOT OF stuff with it.

However, sometimes you want to do really basic stuff with huge or a lot of files. At work, I have to do that a lot because I am mostly dealing with language data that often needs some pre-processing.
I work with R on both Mac OS and Windows. On Windows, you get the option to copy the path of a file or folder by holding Shift while right-clicking on the file or folder. As useful as this feature is, it copies paths to your clipboard in Windows format, e.g.
I recently encountered some functionality in R which most of you might already know. Nevertheless, I want to share it here, because it might come in handy for those of you who do not know this yet.

Suppose you want to read in a large number of very large text tables in R.
I used knitr to hack together a very short tutorial about XML in R.

It's in German. And it's not very long. But, hey, it's free :)

I hope it can be of help to someone who wants to get started with XML processing in R.

Please feel free to post or send any comments about the thing.
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