4697 search results for "git"

Financial Data Accessible from R – part II

October 30, 2013
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I updated my initial post with two new sources of data and the associated R packages: Datastream and PWT. I also added the fImport package from Rmetrics. Following a reader suggestion, I made the initial table  more interactive, moved  the data description and package detail below the main table and updated them. Enjoy! Source R

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Percolation Threshold on a Square Lattice

October 29, 2013
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Percolation Threshold on a Square Lattice

Manfred Schroeder touches on the topic of percolation a number of times in his encyclopaedic book on fractals (Schroeder, M. (1991). Fractals, Chaos, Power Laws: Minutes from an Infinite Paradise. W H Freeman & Company.). Percolation has numerous practical applications, the most interesting of which (from my perspective) is the flow of hot water through

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swirl: Learning Statistics & R

October 29, 2013
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swirl

Most of us would acknowledge that getting up to speed with R involves a pretty steep learning curve - but it's worth every drop of sweat we shed in the process! If you're learning basic statistics/econometrics, and learning R at the same time, then the challenge is two-fold. So, anything that will make this feasible (easy?) for students and instructors alike...

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Poisson regression fitted by glm(), maximum likelihood, and MCMC

October 29, 2013
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Poisson regression fitted by glm(), maximum likelihood, and MCMC

The goal of this post is to demonstrate how a simple statistical model (Poisson log-linear regression) can be fitted using three different approaches. I want to demonstrate that both frequentists and Bayesians use the same models, and that it is the fitting procedure and the inference that differs. This is … Continue reading →

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Scaling up text processing and Shutting up R: Topic modelling and MALLET

October 29, 2013
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Scaling up text processing and Shutting up R: Topic modelling and MALLET

In this post I show how a combination of MALLET, Python, and data.table means we can analyse quite Big data in R, even though R itself buckles when confronted by textual data.  Topic modelling is great fun. Using topic modelling I have been able to separate articles about the 'Kremlin' as a) a building, b) an international actor c) the...

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Anand versus Carlsen – Chennai 2013 – What can we expect in November?

October 28, 2013
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Anand versus Carlsen – Chennai 2013 – What can we expect in November?

This year, the world chess championship will be played between Vishwanathan Anand and 22-yo Magnus Carlsen, in Chennai, India from the 9th to the 28th of November. The passions are sure to run strong. Both GMs have ardent supporters. Carlsen is in a dr...

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Call them what you will

October 28, 2013
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I’ve been playing around with the R package texreg for creating combined regression tables for multiple models. It’s not the only package to do that – see here for a review – but it’s often handy to be able to generate both ascii art, latex, and html versions of the same table using almost identical

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Analysis of #ASHG2013 Tweets

October 28, 2013
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Analysis of #ASHG2013 Tweets

I archived and anlayzed all Tweets with the hashtag #ASHG2013 using my previously mentioned code.Number of Tweets by date shows Wednesday was the most Tweeted day:The top used hashtags other than #ASHG2013:The most prolific users:And what Twitter analy...

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ipython notebook for R: Quickstart for Ubuntu

October 27, 2013
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If you’re like me, you love ipython notebook but often write R.  RStudio’s integrated RMarkdown is nice, but for some contexts like quick demos or basic training, a browser-based interface is unbeatable.  What if we could get the best of… Read more ›

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Alternative to Grouped Bar Charts in R

October 27, 2013
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Alternative to Grouped Bar Charts in R

The #spiffy @dseverski gave me this posit the other day: Hey, @hrbrmstr, doughnut chart aside, how would you approach the first graph at http://t.co/zjHoHRVOeo? Bump chart? Trend line? Leave as is?— David F. Severski (@dseverski) October 25, 2013 and, I...

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