Multiple ECDF functions

plot(ecdf(scan("tmp.after_std")),main="Comparison of
+             Empirical Cumulatve Distribution Functions", 
+	        xlab = "Cup Migration Vectors",
+	        ylab= "", sub = "", pch = 7)

      plot(ecdf(scan("tmp.before_std")), add=TRUE, pch=9, lty = 2)


      legend(locator(1), c("Without Standard Positoning" "With
+       Standard Positioning"), pch=c(7,9), cex = 1.2)
Multiple ECDFs on one plot
Multiple ECDFs on one plot

Transcript

And you could also have multiple EDCF functions - which we have talked about before.  This gives you the cumulative empirical distribution functions.  And in this case, I took the original edf, and I modified it to do something that I wanted it to.

And this is the result. And you can do this in R, which is very nice. You can take a function that they have and modify it to suit your own needs.  Now, some of this I have to caution you you might want to consult a statistician about at least _what is the right way to examine your data, but the nice thing about R is that once you understand how to examine your data you can find almost anything that you need in R or one of the R packages and you can just go off and use it with good knowledge that it will be correct.  Provided use, of course, correctly. Another nice thing is the packages are usually signed by people, and actually you're able to send them an email, and they actually answer some. It's really nice.