# Blog Archives

## Charting the Defeat of AV using R (and some ggplot2 and merge operations on top)

May 8, 2011
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In this post, I’ll be graphing some results from a recent referendum held here in the UK and combining it with the results of a set of local elections that were held at the same time. I’ll give some examples of graphing stuff using ggplot2 and will also show some info regarding merging datasets. At

## Is R an ideal language to teach the fundamentals of programming to beginners?

May 6, 2011
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I’m helping out some colleagues learn programming from having zero experience with it in any shape or form. It’s quite a daunting task in some senses, because, well, it may not be easy! They are researchers, so they’ll need it for processing data and generating output, and perhaps processing BIG DATA at some point too.

## Loops, Conditionals and Variables: A Basic Simulation in R

May 3, 2011
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In this post, I’m going to go over some basics of using conditionals and loops in R. I’ll expand on the example I use here in future posts. The conditionals and loops will be used to create some dummy eye movement data. Background Before I get into the actual code itself, I should probably explain

## Data Aggregation in R: plyr, sqldf and data.table

April 28, 2011
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I’ve also previously put up a couple of posts about aggregating data in R. In this post, I’m going to be trying some other alternative methods for aggregating the dataset. Before I begin, I’d like to thank Matthew Dowle for highlighting these to me. It’s a bit daunting at first, deciding which method of aggregating data is

## Further Adventures in Visualisation with ggplot2

April 25, 2011
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So I previously took a look at some data of player performance from a computer game. In this post, I’m going to do some further visualisations using ggplot2. The data consists of different types of player character, different roles for those characters, and their overall damage output (the unit here is damage per second, or

## Sexy, Geeky Graphs using ggplot2 in R

April 22, 2011
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So I’ve been looking for some data to play with while learning R, other than the data I’m analysing for various experiments and papers I’m working on. I thought to myself, “Hey, this R stuff is pretty geeky. Can I engage in a higher level of geekiness?” And I think I’ve found a way: using

## Aggregate Function in R: Making your life easier, one mean at a time

April 20, 2011
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I previously posted about calculating medians using R. I used tapply to do it, but I’ve since found something that feels easier to use (at least to me). ?Download download.txt1 2 3 aggregated_output = aggregate(DV ~ IV1 * IV2, data=data_to_aggregate, FUN=median) aggregated_output The above code saves an aggregated dataset to aggregated_output and gives you the

## RStudio, Revolution Analytics and Deducer: A Tale of Three GUIs

April 19, 2011
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I’m in the process of moving from SPSS to R at the moment. It’s not been the easiest of rides, but then learning how to do a core part of your job never really should be. It’s been fun, though – don’t get me wrong – it’s definitely been an adventure!! Here I’m going to

## Pivot Tables and Medians in R

April 16, 2011
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Pivot Tables are a useful way of aggregating data into the format that you’re after. In this example, I’m going to be using R to pivot some data and calculate medians for me. This is useful because Excel can calculate medians (the =MEDIAN(values)) function, but what it can’t do is calculate medians for Pivot Tables.