4335 search results for "git"

Got Bootstrap?

June 23, 2013
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Got Bootstrap?

This week I read the book by Michael Chernick and Robert LaBudde, An Introduction to Bootstrap Methods with Applications to R. It’s an interesting oeuvre for useRs of all stripes. I strongly recommend check it out. The book brings lots of examples of bootstrapping applications, such as standard errors, confidence intervals, hypothesis testing, and even

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FuzzyNumbers-0.3-1 released

June 23, 2013
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A new version of the FuzzyNumbers package for R has just been submitted to the CRAN archive. Check out our step-by-step tutorial. ** FuzzyNumbers Package CHANGELOG ** ********************************************************************* 0.3-1 /2013-06-23/ * piecewiseLinearApproximation() - general case (any knot.n) for method="NearestEuclidean" now…Read more ›

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Advanced Graphics I

June 22, 2013
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Advanced Graphics I

Polygon is a such handy function in R for drawing beautiful charts where we can select regions (polygons) of the surface. It’s quite useful for indicating confidence regions of parameters, predictions for time-series, or areas under distributions:

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Everything in Its Right Place: Visualization and Content Analysis of Radiohead Lyrics

June 22, 2013
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Everything in Its Right Place: Visualization and Content Analysis of Radiohead Lyrics

IntroductionI am not a huge Radiohead fan.To be honest, the Radiohead I know and love and remember is that which was a rock band without a lot of 'experimental' tracks - a band you discovered on Big Shiny Tunes 2, or because your friends told you about...

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Announcing pqR: A faster version of R

June 22, 2013
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Announcing pqR:  A faster version of R

pqR — a “pretty quick” version of R — is now available to be downloaded, built, and installed on Linux/Unix systems. This version of R is based on R-2.15.0, but with many performance improvements, as well as some bug fixes and new features. Notable improvements in pqR include: Multiple processor cores can automatically be used to perform some numerical

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Not only CRAN downloads and Shiny … but also .. rCharts

June 21, 2013
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Not only CRAN downloads and Shiny … but also .. rCharts

I have been meaning for some time to get stuck into the rCharts package which provides an interface to many Javascript graphic libraries. These offer rich charting capabilities with interactivity and a great deal of customization. As regular readers will know, I am also interested in improved publicity for CRAN packages, although the Shiny app

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Disposable Visual Data Explorers with Shiny – Guardian University Tables 2014

June 21, 2013
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Disposable Visual Data Explorers with Shiny – Guardian University Tables 2014

Have data – now what? Building your own interactive data explorer need not be a chore with the R shiny library… Here’s a quick walkthrough… In Datagrabbing Commonly Formatted Sheets from a Google Spreadsheet – Guardian 2014 University Guide Data, I showed how to grab some data from several dozen commonly formatted sheets in a

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Put some cushions on the sofa

June 21, 2013
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I posted earlier this week about sofa (here), introducing a package I started recently that interacts with CouchDB from R. There's been a fair amount of response at least in terms of page views, so I'll take that as a sign to keep going. One thing that would be nice while you are CouchDB-ing is to interact with local...

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Put some cushions on the sofa

June 21, 2013
By

I posted earlier this week about sofa (here), introducing a package I started recently that interacts with CouchDB from R. There's been a fair amount of response at least in terms of page views, so I'll take that as a sign to keep going. One thing that would be nice while you are CouchDB-ing is to interact with local...

Read more »

The PISA2009lite package is released

June 20, 2013
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The PISA2009lite package is released

This post introduces a new R package named PISA2009lite. I will show how to install this package, what is inside and how to use it. Introduction PISA (Programme for International Student Assessment) is a worldwide study focused on measuring performance of 15-year-old school pupils. More precisely, scholastic performance on mathematics, science and reading is measured

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