Monthly Archives: December 2009

CRU graph yet again (with R)

December 13, 2009
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CRU graph yet again (with R)

IowaHawk has a excellent article attempting to reproduce the infamous CRU climate graph using OpenOffice: Fables of the Reconstruction. We thought we would show how to produced similarly bad results using R. If the re-constructed technique is close to what was originally done then so many bad moves were taken that you can’t learn much Related posts:

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The Most Basic Elements of Object-Oriented Programming in R

December 13, 2009
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Until recently, I’ve never had any reason to learn how to define my own classes in R. Having learned this week, I was surprised to find out how easy it is to start implementing classes in R. If you know nothing about creating classes and class methods in R, here’s a very quick overview of

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Missing data imputation

December 12, 2009
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Missing data imputation

Probably all of us have met the issue of handling missing data, from the basic portfolio correlation matrix estimation, to advanced multiple factor analysis, how to impute missing data remains a hot topic. Missing data are unavoidable, and more encompassing than the ubiquitous association of the term, irgoring missing data will generally lead to biased estimates. The...

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A central hub for R bloggers

December 12, 2009
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A central hub for R bloggers

I would like to suggest to my readers to take a look and bookmark a new blog named R-bloggers which aims to be "a central hub of content collected from bloggers who write about R".It seems a nice idea to me to have a centralized source of information f...

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Summarising data using bar charts

December 12, 2009
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Summarising data using bar charts

A bar graph is a frequently used type of display that compares counts, frequencies, totals or other summary measures for a series of categories, e.g. sales in different market sectors or in quarters in a financial year. The bar graph can be laid out with the categories either on the vertical or horizontal axis of

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Already a competitor?!

December 11, 2009
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Already a competitor?!

When looking around on Amazon, I found that “Introducing Monte Carlo Methods with R” was associated with another very recently published (same day as ours!) book, “Understanding Computational Bayesian Statistics“, by William Bolstad, that seems to mostly cover the same ground as us (with some connections with Bayesian Core for prior modelling in regression and

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new R package : bibtex

December 11, 2009
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I've pushed to CRAN the package bibtex package The package defines the read.bib function that reads a file in the bibtex format. The code is based on bibparse The read.bib function generates an object of class citationList, just like utils::citation

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Struggling with apply() in R

December 11, 2009
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Struggling with apply() in R

It’s common knowledge that I struggle wrapping my head around the apply functions in R. That is illustrated very clearly in the following discussion on Stack Overflow: Dirk’s comment is actually spot on. I’ve asked the same damn question at least 4-5 times. Only I didn’t really understand it was the same question. That’s one of

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Must-Have R Packages for Social Scientists

December 11, 2009
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Must-Have R Packages for Social Scientists

After recently having to think critically about the value of various R packages for social science research, I realized that others might find value in a post on “must-have” R packages for social scientists. After the immensely popular post on this topic for Python packages a follow-up seemed appropraite. If you conduct social

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R> if (done=TRUE) tweet me!

December 11, 2009
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R> if (done=TRUE) tweet me!

Let’s say that you’re fitting a cumbersome model so time is not to waste over a PC staring at the screen half anxious-half bored… Then, you can always leave and go on with meetings and all your daily routine and have R notify you the results! How? We will illustrate the situation above using some Bayesian Model

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