I keep being amazed at the R language, especially when using the free RStudio IDE. I've mainly focused on using various analytical packages (like randomForest), but wow ggplot2 is awesome in it's simplicity for doing visualisations. The following isn't the best data for an example, but you get the idea:
scores = rbind(0.25199,0.26516,0.29329,0.30794,0.30630,0.33529,0.33910,0.34185,0.33703,0.34423,0.34877,0.32457,0.33826,0.33670,0.34237,0.33503,0.33186,0.33125,0.32908,0.34548,0.34357,0.34371,0.35440,0.35082,0.34633,0.35529)
var = rbind(7.62,5.32,9.60,11.38,13.31,14.38,13.60,15.60,12.18,11.98,10.88,25.00,13.59,13.67,14.17,25.27,26.73,25.90,22.97,38.98,21.21,23.86,21.48,23.07,24.38,22.46)
summary(scores)
summary(var)
library(ggplot2)
qplot(scores,var) + geom_smooth()
