All posts tagged R

R is my favorite programming language.  It's just so useful for getting work done.  Sometimes people will complain that R is a difficult language.  To me, this begs the questions:  difficult for what?  And for whom?  I personally think R is just about the easiest thing in the world for prototyping.  Meaning if you want to quickly crank out some result, R is king.  Now when you get into optimization, Read more >>
Background As of ggplot2 0.9.0 released in March 2012, there is a new generic function autoplot.  This uses R's S3 methods (which is essentially oop for babies) to let you have some simple overloading of functions.  I'm not going to get deep into oop, because honestly we don't need to. The idea is very simple.  If I say "I'm sending a letter to my sister", you wouldn't be all, "Oh, which letter?  Read more >>
I had been meaning to start toying with the igraph package for a while. So a few weeks ago (lay off, I'm busy), I decided to grab a bunch of CRAN data about package dependencies. The easiest way that I could think to get this information was to just grab the html files for all the package descriptions and chop through them. Quick note before I forget: I'm not looking at any base packages. Only Read more >>
I've been joking for a while now that I was going to start solving project euler problems in LaTeX.  Then today I finally did one.  So let's talk about solving Project Euler problem number 1 (the easy one) using only LaTeX. The problem asks you to sum up all the positive integers below 1000 which are divisible by 3 or 5 (or both).  Doing this in R is easy.  You could efficiently do which Read more >>
Background (probably boring) Several months ago, my boss and I were discussing how he got the data for his software popularity article; the rest of the background discussion pertains to those plots, so I would recommend going over to take a look before continuing on (or just skip to the next section if you're impatient).  Specifically, we were talking about his figures 7 and 11.  Basically he was Read more >>
What is parallelization?Parallelization is using multiple processing cores to, hopefully, make your programs run faster than serial code, which is the use of just one processing core. Parallel code is not always faster than its serial counterpart (but if you're doing it right and you're careful about what you parallelize, it will be --- remember, that's your goal here).  Don't rush to parallelize Read more >>
My last post of substance was all about improving your performance using R to answer programming questions that might be asked during a job interview.  So let's say you nailed the interview and got the job, but you desperately want to be fired for grand incompetence.  Never fear, your pal at librestats once again has your back. The sleep sort First, we'll tackle the sleep sort after an important Read more >>
My time as a grad student will soon draw to a close. With this comes the terrifying realisation that I'm going to start applying for jobs and, hopefully, interviewing soon, forever leaving my comfortable security blanket of academia. With that horrible thought in mind, I've been doing some poking around to see what various kinds of technical interviews are like.  Apparently, it is not entirely Read more >>