Posts Tagged ‘ blog ’

WordPress WordCloud with R

August 3, 2011
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WordPress WordCloud with R

These days one can frequently read about wordclouds created with R, initiated by the release of the wordcloud package by Ian Fellows on July 23rd. So here I am to put in my two cents. I thought about creating a wordcloud of a complete blog history, so I build a script that connects to a

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The foundations of Statistics [reply]

July 18, 2011
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The foundations of Statistics [reply]

Shravan Vasishth has written a response to my review both published on the Statistics Forum. His response is quite straightforward and honest. In particular, he acknowledges not being a statistician and that he “should spend more time studying statistics”. I also understand the authors’ frustration at trying “to recruit several statisticians (at different points) to

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The foundations of Statistics: a simulation-based approach

July 11, 2011
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The foundations of Statistics: a simulation-based approach

“We have seen that a perfect correlation is perfectly linear, so an imperfect correlation will be `imperfectly linear’.” page 128 This book has been written by two linguists, Shravan Vasishth and Michael Broe, in order to teach statistics “in  areas that are traditionally not mathematically demanding” at a deeper level than traditional textbooks “without using

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Now I’m R-Blogging

July 10, 2011
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Today a lot of great mails arrived at my inbox. In one of them I was reading I’ve just added your feed to the site. Where did this mail come from? The sender of the email was Tal Galili. He is a researcher in BioStatistics at the Tel Aviv University, very active around the internet.

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

May 8, 2011
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Charting the Defeat of AV using R (and some ggplot2 and merge operations on top)

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

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

May 6, 2011
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Is R an ideal language to teach the fundamentals of programming to beginners?

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.

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Loops, Conditionals and Variables: A Basic Simulation in R

May 3, 2011
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Loops, Conditionals and Variables: A Basic Simulation in R

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

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

April 28, 2011
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Data Aggregation in R: plyr, sqldf and data.table

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

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Further Adventures in Visualisation with ggplot2

April 25, 2011
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Further Adventures in Visualisation with ggplot2

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

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Sexy, Geeky Graphs using ggplot2 in R

April 22, 2011
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Sexy, Geeky Graphs using ggplot2 in R

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

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