Monthly Archives: February 2013

Keep up with new R questions on StackOverflow with @StackOverflowR

February 8, 2013
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Last time I checked on the number of R questions on StackOverflow, back in June 2011, there were 5000. Today, there are 23,649. (For comparison, there are 15,649 questions about Matlab and 971 questions on SAS.) If you use Twitter, thanks to Trey Causey there's now an easy way to keep up with new R questions posted to StackOverflow....

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Using R to get h5-index for a list of journals

February 8, 2013
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In my last blog post I wrote about impact factors and h-index for different journals. That got me wondering about what the h5 index is for all of the journals that I read and may want to publish in. I could look them all up individually, but that sound...

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Crash course on R for financial and actuarial econometrics

February 8, 2013
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Crash course on R for financial and actuarial econometrics

Next Friday, I will give in Montréal a crash course entitled Econometric Modeling in Finance and Insurance with the R Language. Since IFM2 wanted this course to be an opportunity to discover R, the first part o fthe course will be on the R language. Slides can be downloaded from here. (since the course is still scheduled, all comments...

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Data Visualization: Graphics with GGPlot2

February 8, 2013
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Data Visualization: Graphics with GGPlot2

By: Sean M. Gonzalez  Basic plots in R using standard packages like lattice work for most situations where you want to see trends in small data sets, such as your simulation variables, which make sense considering lattice began with the Bell … Continue reading → The post Data Visualization: Graphics with GGPlot2 appeared first on Data Community DC.

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Extended (Simple) ASN Graph Visualization Example [R to D3]

February 8, 2013
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Extended (Simple) ASN Graph Visualization Example [R to D3]

The small igraph visualization in the previous post shows the basics of what you can do with the BulkOrigin & BulkPeer functions, and I thought a larger example with some basic D3 tossed in might be even more useful. Assuming you have the previous functions in your environment, the following builds a larger graph structure

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Deploying Shiny Server on Amazon EC2

February 8, 2013
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Setting up Shiny Server on Amazon’s Elastic Compute Cloud (EC2) can be a bit of a process if you’re unfamiliar with Linux system administration. Thankfully, we’ve done all the hard work for you! If you’re looking to get Shiny Server running in EC2 without delay, just boot up an instance of our public Amazon Machine

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Retrieve IP ASN & BGP Peer Info With R

February 7, 2013
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Retrieve IP ASN & BGP Peer Info With R

This is part of a larger project I’m working on, but it’s useful enough to share (github version coming soon). The fine folks at @TeamCymru have a great service to map IP addresses to ASN/BGP information en masse. There are libraries for Python, Perl and other languages but none for R (that I could find).

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Extracting the Epidemic Model: Going Beyond Florence Nightingale Part II

February 7, 2013
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Extracting the Epidemic Model: Going Beyond Florence Nightingale Part II

This is the second of a two part reexamination of Florence Nightingale's data visualization based on her innovative cam diagrams (my term) shown in Figure 1. Figure 1. Nightingale's original cam diagrams (click to enlarge)RecapIn Part I, I showed that FN applied sectoral areas, rather than a pie chart or...

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R User Group Meetings in Switzerland and London

February 7, 2013
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Mango Solutions is pleased to confirm details of two forthcoming  R User Group Meetings:  BaselR Date:                                     21st Feb 2013 Venue:                                 transBARent, Viaduktsrasse 3, CH 4051 Basel, Switzerland Time:                                     6.30 pm – 9.30pm Presentations:                  Kinetic evaluations of environmental metabolism data for the agrochemical industry using R – Johannes Ranke                   Estimating Switzerland’s quarterly GDP in R-...

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My R-Package Development Cheat Sheet

February 7, 2013
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In case you have no experience in writing an R-package yourself  but would like to start developing one right away, this post might be helpful.I'm about to finish my first own (serious) R-package these days (more on the package itself later). Whil...

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