Monthly Archives: March 2013

Build a search engine in 20 minutes or less

March 27, 2013
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Build a search engine in 20 minutes or less

…or your money back. author = "Ben Ogorek"Twitter = "@baogorek"email = paste0(sub("@", "", Twitter), "@gmail.com") Setup Pretend this is Big Data: doc1 <- "Stray cats are running all over the place. I see 10 a day!"doc2 <- "Cats are killers. They...

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TeXing R tables: Save yourself a lot of typing…

March 27, 2013
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TeXing R tables: Save yourself a lot of typing…

I want to share a function I wrote for my dissertation. The function is useful for putting up to two R tables into one TeX table.You have to load the package 'languageR' to have the dataset 'dative' available.Let's suppose you have two tables, one with...

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Getting the data for the sjPlotting-functions into shape #rstats

March 27, 2013
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Getting the data for the sjPlotting-functions into shape #rstats

I sometimes get questions on how to reproduce the samples that are posted in this blog. Currently, I’m referring to these posts: Plotting lm and glm models with ggplot Easily plotting grouped bars with ggplot Simplify frequency plots with ggplot … Weiterlesen →

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A few of my favorite moments from LPSC 2013

March 26, 2013
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A few of my favorite moments from LPSC 2013

(Note: this was initially posted on my other blog at Glacial Till, but there were some good bits of information that I wanted to share with the Paleoposse.) Last week I attended my first science conference: The Lunar and Planetary Science Conference in Houston, TX. If you followed me on Twitter, then (for better or for worse)

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Got Data from People? Take Dan Ariely’s Coursera course.

March 26, 2013
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Got Data from People? Take Dan Ariely’s Coursera course.

A Beginner's Guide to Irrational Behavior started yesterday.  One might not immediately think that such a course would be relevant for statistical modeling.  Well, it is if your statistical modeling uses people as informants.  If the dat...

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Big Analytics for R Users without Big Hassles: A Webinar About SciDB-R

March 26, 2013
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You want your analytics to just work… with extremely large data sets as nimbly as small ones. You don’t want to have to think about parallelism, data formatting, and memory management. Paradigm4 presents a webinar about SciDB-R, an R package that lets you remain an R programmer, but expands R’s power with SciDB, the massively

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SciDB-R, a package for R, is now available

March 26, 2013
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SciDB-R, a package for R that lets R programmers perform massive-scale data-management and analytical tasks from inside R programs, is now available. You can download the package from GitHub here. It is also available on The Comprehensive R Archive Net...

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What’s New in 6.2: Stepwise Regression for Big Data

March 26, 2013
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by Thomas Dinsmore This is the third in a series of posts highlighting new features in Revolution R Enterprise Release 6.2, which is scheduled for General Availability April 22. This week's post features our new Stepwise Regression capability. The Stepwise process starts with a specified model and then sequentially adds into or removes from the model the variable that...

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Python vs R vs SPSS … Can’t All Programmers Just Get Along?

March 26, 2013
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Python vs R vs SPSS … Can’t All Programmers Just Get Along?

Programmers have long been very proud and loyal with their tools, and often very vocal. This has led to well-contested rivalries and “fights” about which tool is better: emacs or vi; Java or C++; Perl or Python; Django or Rails; … Continue reading →The post Python vs R vs SPSS … Can’t All Programmers Just Get Along?...

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ChainLadder 0.1.5-6 released on CRAN

March 26, 2013
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ChainLadder 0.1.5-6 released on CRAN

Last week we released version 0.1.5-6 of the ChainLadder package on CRAN. The ChainLadder package provides statistical models, which are typically used for the estimation of outstanding claims reserves in general insurance. The package vignette gives an overview of the package functionality. Output of plot(MackChainLadder(GenIns)) Since the last CRAN release...

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