Monthly Archives: June 2012

Blog with R Markdown and tumblr: Part I

June 24, 2012
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Blog with R Markdown and tumblr: Part I

I finally got a chance this weekend to settle on a way to include R Markdown into my blogging process. I needed to do this as my subsequent postings will involve more code chunks regarding Rook deployment and examples, and R Markdown formats and highlights code chunks like a boss! If you want to incorporate R code,...

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Highlights of the useR! 2012 – Review of the reviews

June 24, 2012
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Highlights of the useR! 2012 – Review of the reviews

It’s gutted that I could not attend useR! 2012 after having a great time at useR!2011 at Warwick. However, a great active online community of useRs allows me to get lots of goods stuffs from the conference even though I did not attend physically. By keep following the #useR2012 and #rstats in Twitter and reading some great posts from R-bloggerRs on the

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Visualization in R with ggplot2 taught by Hadley Wickham at Statistics.com

June 24, 2012
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Hadley Wickham, the creator of ggplot2, will present his course “Visualization in R with ggplot2,” online at Statistics.com, July 20 – Aug 17. Upcoming “R” courses, and others: Jun 22:  Smoothing with P-splines using R (taught by Brian Manly and Paul Eilers) Jun 29:  Data Mining in R (taught by Luis Torgo) Jul  6:  Intro to Resampling Methods (taught...

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Mexico City’s Metro Statistics

June 24, 2012
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Mexico City’s Metro Statistics

I used R and ggplot2 to make a bubble map of Mexico City’s Metro passenger count from January to February 2012. The statistics are stunning, some stations for example Indios Verdes, reached 10 million passengers in jus three months. You can see the code below and get the data for the project here.

The post Mexico City’s Metro Statistics...

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setting your working directory permanently in R

June 24, 2012
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Most of us R users are using a special working directory for the daily work in R. But I was bothered in typing everytime in my command line prior using R. Also using this line at the first position in scripts was not pleasent enough. So how to get around this? There is a special

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Using twitteR to see, what german press secretary tweets about

June 24, 2012
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Using twitteR to see, what german press secretary tweets about

Find the HTML-slides here, and the .Rmd-file that was used to generate here. How to deal with .Rmd-files, see here What this is about These are my first steps to play around with the interface from R to twitter, using the twitteR-package. We will load the latest 1500 (maximum the API allows) tweets from the

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Actuarial models with R, Meielisalp

June 23, 2012
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Actuarial models with R, Meielisalp

I will be giving a short course in Switzerland next week, at the 6th R/Rmetrics Meielisalp Workshop & Summer School on Computational Finance and Financial Engineering organized by ETH Zürich, https://www.rmetrics.org/. The long...

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Framing investing as a decision-making process

June 23, 2012
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Framing investing as a decision-making process

Brian Peterson and I had a chance to visit the University of Washington a couple of weeks ago at the behest of Doug Martin, where we gave a seminar covering various R packages we’ve written. Here are the slides we used. We also had quite a bit of time that we spent with Doug, Eric

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Retweets, Modified Tweets, vias: what’s in the SoMeLab dataset

June 23, 2012
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Retweets, Modified Tweets, vias: what’s in the SoMeLab dataset

  Since October we have been collecting tweets related to the Occupy movement and so far we’ve picked up 64,298,104 tweets. In future posts we will give you some insight into our process, but today the question is, what is the difference between new style retweets, old style retweets and new emerging tags like MT?

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The R-Podcast Screencast 2: Visualization with ggplot2

June 23, 2012
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Here is the second screencast episode of the R-Podcast to accompany episode 8 of the R-Podcast: Visualization with ggplot2. In this screencast I demonstrate a real-time session of using ggplot2 to create boxplots for a visualization of hockey attendance in the NHL. The R code created in this screencast is available in our GitHub repository,

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