Top 3 R resources for beginners

May 14, 2013
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The community team at Revolution Analytics has just updated this list of resources to learn about R on the Web. Included is this list of the top 3 resources for absolute beginners getting started with R: An Introduction to R – The free, “official” CRAN R Manual Try R – a short course that lets you jump right in...

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Le Monde puzzle [#820]

May 14, 2013
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Le Monde puzzle [#820]

The current puzzle is… puzzling: Given the set {1,…,N} with N<61, one iterates the following procedure: take (x,y) within the set and replace the pair with the smallest divider of x+y (bar 1). What are the values of N such that the final value in the set is 61? I find it puzzling because the

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1.5 percent of doctors, a quarter of malpratice reports

May 14, 2013
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1.5 percent of doctors, a quarter of malpratice reports

Some doctors receive more malpractice reports than others. Just how unequal is the distribution of malpractice reports? The post 1.5 percent of doctors, a quarter of malpratice reports appeared first on Decision Science News.

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SIR Model – The Flue Season – Dynamic Programming

May 14, 2013
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SIR Model – The Flue Season – Dynamic Programming

# The SIR Model (susceptible, infected, and recovered) model is a common and useful tool in epidemiological modelling.# In this post and in future posts I hope to explore how this basic model can be enriched by including different population group...

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Much more efficient bubble sort in R using the Rcpp and inline packages

May 14, 2013
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Recently I wrote a blogpost showing the implementation of a simple bubble sort algorithm in pure R code. The downside of that implementation was that is was awfully slow. And by slow, I mean really slow, as in “a 100… See more ›

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Beware: 2 is not always 2 in R

May 14, 2013
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This post is minimalistic. Consider this: Now let's have look at what's inside x: But is it really true? Here you go. A colleague of mine was once ruined by this for an entire day before we realized what was…Read more →

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Forecast Update: Will 2014 be the Beginning of the End for SAS and SPSS?

May 14, 2013
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Forecast Update: Will 2014 be the Beginning of the End for SAS and SPSS?

I recently updated my plots of the data analysis tools used in academia in my ongoing article, The Popularity of Data Analysis Software. I repeat those here and update my previous forecast of data analysis software usage. Learning to use … Continue reading →

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Projection Pursuit Classification Trees

May 14, 2013
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I've been looking at this article for a new tree-based method. It uses other classification methods (e.g. LDA) to find a single variable use in the split and builds a tree in that manner. The subtleties of the model are: The model does not prune but ...

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PhyloTempo

May 14, 2013
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PhyloTempo

Summary: Two new measures of tree topology are introduced: temporal clustering (TC), and staircase-ness. Several other existing statistics are also implemented for the purpose of comparison: Aldous's graphical test and likelihood test to decide if a tree fits the Yule … Continue reading →

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The rbinding race: for vs. do.call vs. rbind.fill

May 14, 2013
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The rbinding race: for vs. do.call vs. rbind.fill

Which function rbinds dataframes together fastest?First competitor: classic rbind in a for loop over a list of dataframesSecond competitor: do.call("rbind", <list of dataframes>)Third competitor: rbind.fill(<list of dataframes>) f...

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Visualizing your websites’ ecommerce performance with R

May 14, 2013
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Visualizing your websites’ ecommerce performance with R

In this blogpost, I want to dive deeper into the explanation of the relationship between Frequency and Recency of Visits with the Conversion Rate and Average Order Value. I have used the RGA package for data extraction and Dr. Hadley Wickham’s ggplot2 package to achieve the visualizations. Here’s the data aggregation script : #transactions dataframe

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Claims Inflation – a known unknown

May 14, 2013
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Over the last year I worked with two colleagues of mine on the subject of inflation and claims inflation in particular. I didn't expect it to be such a challenging topic, but we ended up with more questions than answers. The key question and biggest ch...

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RcppArmadillo 0.3.820

Conrad rolled up a new Armadillo release 3.820 (following two minor fix release in the 0.3.810 series of which we packaged the one that was relevant for us). This new version is now out in a release 0.3.820 of RcppArmadillo which is already on CRAN a...

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Stan!

May 13, 2013
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Guy Freeman writes: I thought you’d all like to know that Stan was used and referenced in a peer-reviewed Rapid Communications paper on influenza. Thank you for this excellent modelling language and sampler, which made it possible to carry out this work quickly! I haven’t actually read the paper, but I’m happy to see Stan The post Stan!...

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Rによるモンテカルロ法入門

May 13, 2013
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Rによるモンテカルロ法入門

Here is the cover of the Japanese translation of our Introducing Monte Carlo methods with R book.  A few year after the French translation. It actually appeared last year in August but I was not informed of this till a few weeks ago. The publisher is Maruzen, with an associated webpage if you want to

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Integration take two – Shiny application

May 13, 2013
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Integration take two – Shiny application

My last post discussed a technique for integrating functions in R using a Monte Carlo or randomization approach. The mc.int function (available here) estimated the area underneath a curve by multiplying the proportion of random points below the curve by the total area covered by points within the interval: The estimated integration (bottom plot) is

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In case you missed it: April 2013 Roundup

May 13, 2013
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In case you missed them, here are some articles from April of particular interest to R users: A critique of a SAS whitepaper comparing the performance of SAS, R and Mahout. A video presentation from statistician Tess Nesbitt at UpStream, who uses GAM survival models in R for marketing attribution analysis. The April edition of the Revolution Analytics newsletter....

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Shiny App for CRAN packages

May 13, 2013
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Over the past few days, I have been introduced to a few new-to-me R packages, via some comments from the Shiny guys and the R-bloggers site. This seems a rather haphazard way of acquiring knowledge and I cannot be alone in thinking that this is not the most productive way to become aware of new/better

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Stack Exchange: Why I dropped out

May 13, 2013
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Stack Exchange: Why I dropped out

Stack Exchange is a series of question-and-answer sites, including Stack Overflow for programming and Cross Validated for statistics. I was introduced to these sites at a short talk by Barry Rowlingson at the 2011 UseR! meeting, “Why R-help must die!“ These sites have a lot of advantages over R-help: The format is easier to read,

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Global Indicator Analyses with R

May 13, 2013
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Global Indicator Analyses with R

I was recently asked by a client to create a large number of “proof of concept” visualizations that illustrated the power of R for compiling and analyzing disparate datasets. The client was specifically interested in automated analyses of global data. A little research led me to the WDI package. The WDI package is a tool to “search, extract and...

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Global Indicator Analyses with R

May 13, 2013
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Global Indicator Analyses with R

I was recently asked by a client to create a large number of “proof of concept” visualizations that illustrated the power of R for compiling and analyzing disparate datasets. The client was specifically interested in automated analyses of global data. A little research led me to the WDI package. The WDI package is a tool to “search, extract and...

Read more »

Global Indicator Analyses with R

May 13, 2013
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Global Indicator Analyses with R

I was recently asked by a client to create a large number of “proof of concept” visualizations that illustrated the power of R for compiling and analyzing disparate datasets. The client was specifically interested in automated analyses of global data. A little research led me to the WDI package. The WDI package is a tool The post Global...

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Living it up with computational errors

May 13, 2013
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How to have a better chance of a good outcome. Making mistakes There’s been a lot of talk recently about data analysis problems with spreadsheets.  If you’ve not stuck your head out of your cave lately, then you can catch some of the discussion by doing an internet search for: Reinhart Rogoff There are several The post Living...

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Combining dataframes when the columns don’t match

May 13, 2013
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Combining dataframes when the columns don’t match

Most of my work recently has involved downloading large datasets of species occurrences from online databases and attempting to smoodge1 them together to create distribution maps for parts of Australia. Online databases typically have a ridiculous number of columns with … Continue reading →

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Who Has the Best Fantasy Football Projections: ESPN, CBS, NFL.com, or FantasyPros?

May 12, 2013
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Who Has the Best Fantasy Football Projections: ESPN, CBS, NFL.com, or FantasyPros?

In prior posts, I demonstrated how to download, calculate, and compare fantasy football projections from ESPN, CBS, and NFL.com.  In my last post, I demonstrated how to download FantasyPros projections, which aggregate projections from many different sources to increase prediction accuracy.  In this post, I will compare fantasy football projections from ESPN, CBS, NFL, and FantasyPros, including our average...

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The Guerilla Guide to R

May 12, 2013
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Update: Okay. I've uploaded a new template and things seem to be fine now. Update: I am aware the table of contents is not being displayed in bullet form as I intended. The web template I'm using seems to be buggy. It also seems to think this page is in Indonesian...Working on it! Table of Contents: Reading/Writing Files

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Recent Rcpp talks at U of C and MCW

A couple of days ago, I had an opportunity to give a guest lecture on our Rcpp package for R and C++ integration. This was in CMSC 12300 Computer Science with Applications-3 in the Department of Computer Science at University of Chicago. The course i...

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awalé

May 12, 2013
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awalé

Following Le Monde puzzle #810, I tried to code an R program (not reproduced here) to optimise an awalé game but the recursion was too rich for R: even with a very small number of holes and seeds in the awalé… Searching on the internet, it seems the computer simulation of a winning strategy for

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Using C libraries in R with rdyncall

May 12, 2013
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Using C libraries in R with rdyncall

One reason I like using R for data analysis is that R has a great collection of packages that let you easily apply state-of-the-art methods to your problems. But once in a while you find a library that you would like to use that does not have a R wrapper, yet. While the great Rcpp

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