Monthly Archives: May 2013

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
By
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
By
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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