Monthly Archives: November 2011

Vectors (CloudStat)

November 5, 2011
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The simplest type of data object in R is a vector, which is simply an ordered set of values. Some further examples of creating vectors are shown below: Input: 1:20 Output: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 This creates...

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#2 Data Classes (CloudStat)

November 5, 2011
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As stated in CloudStat Intro, we know that CloudStat is based on R Language, an object orientated language, everything in R is an object. Each object has a class. The simplest data objects are one-dimensional arrays called vectors, consisting of any nu...

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The Joy of R: A Feline Guide

November 5, 2011
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The Joy of R: A Feline Guide

Just because it’s caturday Images by Mario Pineda-Krch (CC BY-NC-SA 3.0) This is from the “Mario’s Entangled Bank” blog ( http://pineda-krch.com ) of Mario Pineda-Krch, a theoretical biologist at the University of Alberta. Filed under: cats, computing, humour, R, Sweave

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Colour wheels in R

November 5, 2011
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Colour wheels in R

Regular readers will know I use the R package to produce most of the charts that appear here on the blog. Being more quantitative than artistic, I find choosing colours for the charts to be one of the trickiest tasks when designing a chart, particularly as R has so many colours to choose from. In

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Data Referenced Journalism and the Media – Still a Long Way to Go Yet?

November 4, 2011
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Data Referenced Journalism and the Media – Still a Long Way to Go Yet?

Reading our local weekly press this evening (the Isle of Wight County Press), I noticed a page 5 headline declaring “Alarm over death rates at St Mary’s”, St Mary’s being the local general hospital. It seems a Department of Health report on hospital mortality rates came out earlier this week, and the Island’s hospital, it

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Unit root versus breaking trend: Perron’s criticism

November 4, 2011
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Unit root versus breaking trend: Perron’s criticism

I came across an ingenious simulation by Perron during my Time-series lecture which I thought was worth sharing. The idea was to put your model to a further test of breaking trend before accepting the null of unit root. Let me try and illustrate this in simple language. A non-stationary time series is one that has its mean changing...

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Generating PPC Keywords in R – Part 2

November 4, 2011
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In a previous post, I discussed how to generate PPC keywords in R. In this post I will provide another example of how to perform this task. Let’s say that I am a auto insurance company that only operates in the state of Illinois. I’m planing on bidding on keywords in Bing and Google which

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Rdatamarket Tutorial

November 4, 2011
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The good folks at DataMarket have posted a new tutorial on using the rdatamarket package (covered here in August) to easily download public data sets into R for analysis. The tutorial describes how to install the rdatamarket package, how to extract metadata for data sets, and how to download the data themselves into R. The tutorial also illustrates a...

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match vs. %in%

November 4, 2011
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match and %in% are two very commonly-used function in R. So, what's the difference of them?First, how to use them -- (copy from R manual)match returns a vector of the positions of (first) matches of its first argument in its second.%in% is a ...

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Confidence interval for predictions with GLMs

November 4, 2011
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Confidence interval for predictions with GLMs

Consider a (simple) Poisson regression . Given a sample where , the goal is to derive a 95% confidence interval for given , where is the prediction. Hence, we want to derive a confidence interval for the prediction, not the potential observation...

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