Monthly Archives: October 2013

Portable, personal packages

Portable, personal packages ProgrammingR had an interesting post recently about keeping a set of R functions that are used often as a gist on Github, and sourceing that file at the beginning of R analysis scripts. There is nothing inherently wrong with this, but it does end up cluttering the user workspace, and there is no...

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Generating your own normal distribution table

October 15, 2013
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Generating your own normal distribution table

It might sounds incredibly old fashion, but for my the exam for the ACT2121 probability course (to prepare for the exam P of the Society of Actuaries), I will provide a standard normal distribution table. The problem is that it is never the one we’re looking for (sometimes it is the survival function, sometimes it is the cumulative distribution function,...

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R usage skyrocketing: Rexer poll

October 15, 2013
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R usage skyrocketing: Rexer poll

Rexer Analytics has been conducting regular polls of data miners and analytics professionals on their software choices since 2007, and the results of the 2013 Rexer Analytics Data Miner Survey were presented at last month's Predictive Analytics World conference in Boston. Here are some highlights of the responses from the 1,039 non-vendor participants. (You can request a free copy...

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Alteryx integrates with Revolution R Enterprise

October 15, 2013
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You already know that R is an amazingly powerful language for data analysis, but what if you're not a programmer? Or, what if you want to make the data manipulations, visualizations or statistical models you've developed in R available to business analysts, marketers, managers or other non-programming types? That's why Revolution Analytics has teamed up with Alteryx to bring...

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Bio7 1.7.1 MacOSX Released

October 15, 2013
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Bio7 1.7.1 MacOSX Released

15.10.2013 Finally i released  Bio7 1.7.1 for MacOSX. This release is bundled with a Java Runtime Environment and the latest R version (3.0.2) for MacOSX. For the plot functionality eventually XQuartz has to be installed (if not already installed!). Please note the installation requirements at the bottom of the page. Here are some screenshots for

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Science at the speed of ligth

October 15, 2013
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Science at the speed of ligth

May be is not going that fast, but at the speed of R at least. And R is pretty quick. This has pros and cons. I think that understanding the drawbacks is key to maximize the good things of speed, … Continue reading →

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playing along with Elias Wegert in R: X <-…

October 15, 2013
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playing along with Elias Wegert in R:
X <-…

sine mis-calculated the angles on sine mid-res, small cex, pch=46, sine low-res, small cex, pch=46 z^17th power sine in HCL rather than HSV cosh z+zz+zzz+zzzz+zzzzz+zzzzzz+zzzzzzz+zzzzzzzz+zzzzzzzzz+zzzzzzzzzzplaying along with Elias Wegert in R: X * complex(imaginary=.05) + t(X)/20 #twist & shout X hcl(h=55*Arg(sin(X)), c=Mod(sin(X))*40 ) , ...

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Next Kölner R User Meeting: 18 Oktober 2013

October 14, 2013
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Next Kölner R User Meeting: 18 Oktober 2013

Quick reminder: The next Cologne R user group meeting is scheduled for this Friday, 18 October 2013. We will discuss and hear about the apply family of functions and the XLConnect package. Further details and the agenda are available on our KölnRUG Meetup site. Please sign up if you would like to come along. Notes from past...

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R: Mapping Typhoon Labuyo (Utor) Track

October 14, 2013
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R: Mapping Typhoon Labuyo (Utor) Track

Inspired by James Cheshire R maps, I tried mapping the track of Typhoon Labuyo (Utor) that by far the strongest one to hit Philippines this year. The data is available at Japan Meteorological Agency site, the 2013 - RSMC Best Track data. The code is av...

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Beta Distribution and the NJ U.S. Senate Election

October 14, 2013
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Beta Distribution and the NJ U.S. Senate Election

The beta distribution is highly flexible distribution and applies to many situations and environments. The beta distribution applies well when there are percentages. The upcoming New Jersey U.S. Senate election on Wednesday fits that criterion quite well. So here I applied the beta distribution to some pre-election polls where the numbers were obtained through the

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