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First, let's load up our data. The data are available in a gist. You can convert your own GPS data to .csv by following the instructions here, using gpsbabel.gps [Read more...]

Now, after reading in data, making plots and organising commands with scripts and Sweave, we’re ready to do some numerical data analysis. If you’re following this introduction, you’ve probably been waiting for this moment, but I really think it’s a good idea to start with graphics ... [Read more...]

How to control the limits of data values in R plots. R has multiple graphics engines.  Here we will talk about the base graphics and the ggplot2 package. We’ll create a bit of data to use in the examples: one2ten [Read more...]

Wordclouds such as Wordle are pretty rubbish, so I thought I'd try to make a better one, one that actually produces (statistically) meaningful results. I was so happy with the outcome I decided to make it interactive, so go on, have a play!Compare any two files texts (turns out ... [Read more...]

[This article was first published on Rmetrics blogs, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your [Read more...]

As of the beginning of 2013, Data Community DC ran three Meetup groups: Data Science DC, Data Business DC, and R Users DC. We’ve often wondered how much these three groups overlapped. In this post, I’m going to show you … Continue reading → The post Examining Overlapping Meetup Memberships with ... [Read more...]

Social Media Analysis has become some kind of new obsession in Marketing. Every company wants to engage existing customers or attract new ones through this communication channel. Therefore, they hire designers, editors, community managers, etc. However, when it comes to … Continue reading → [Read more...]

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A new Armadillo version 3.6.3 came out this morning, and the corresponding RcppArmadillo version is now on CRAN. Changes are incremental: Changes in RcppArmadillo version 0.3.6.3 (2013-02-20) Upgraded to Armadillo release Version 3.6.3 ... [Read more...]

At D-RUG this week Rosemary Hartman presented a really useful case study in model selection, based on her work on frog habitat. Here is her code run through ‘knitr’. Original code and data are posted here. (yes, I am just doing this for the flying monkey) Editor’s note: we’... [Read more...]

This guest post is by Tammer Kamel, Founder of Quandl Finding and formatting numerical data for analysis in R or Excel or indeed any application is a pain that all real world data analysts know all too well. In aggregate I have probably spent weeks of my life trying to ... [Read more...]

GitHub recently launched a more powerful search feature which has been used on more than one occasion to identify sensitive files that may be hosted in a public GitHub repository. When used innocently, there are all sorts of fun things you can find with this search feature. Inspired by Aldo ... [Read more...]

Last summer, I had some internet connectivity problems. Specifically, I would have massive latency issues that affected my conversations on Skype and my relatively pathetic under the best of circumstances efforts at online gaming. It was driving me up a wall and I couldn't figure it out. It hadn't occurred ... [Read more...]

One question we get asked a lot is whether it's worth it to pre-pay for the tank of gas when renting a car. At first, blush it seems like something you should never do. In the best case, you pay market rate for gas, and in the worst case, you ... [Read more...]

This is an example of interfacing R, shiny, and deSolve to produce an interactive environment where users can explore model behavior by altering parameters in an easy to use GUI. The model tracks the number of susceptible, infectious, and recovered individuals in two co-occuring host species. The rates of change ... [Read more...]

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A decent percentage of working time in R, I spend looping over chromosomes, transcription factors or tissues, usually, using parallelization.To get the stuff to run simultaneously I use the foreach function from the doMC package, and for monitoring of ... [Read more...]

Following the interest in our Twitter Tongues map for L [...] [Read more...]

The past few posts on momentum with R focused on a relatively simple way to backtest momentum strategies. In part 4, I use the quantstrat framework to backtest a momentum strategy. Using quantstrat opens the door to several features and options as well as an order book to check the trades ... [Read more...]