3363 search results for "MAP"

Comparing Holt Winters Implementations in R – Part 1

May 24, 2014
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Comparing Holt Winters Implementations in R – Part 1

This a multipart series aiming to compare and contrast the various Holt Winters implementations in R. We intend to focus more on the practical and applied aspects of the implementations to get a better grip over the behaviour of models … Continue reading →

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A taste of functional programmming in Rcpp11

May 23, 2014
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@kevinushey requested some functional programming in Rcpp11 and provided initial versions of map and filter. map is actually doing exactly the same thing as mapply so I added map as a synonym to mapply so that we can do (see this previous post for details): // ] NumericVector mapply_example(NumericVector x, NumericVector y, double z){ ...

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Quick History 2: GLMs, R and large data sets

May 22, 2014
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by Joseph Rickert In last week’s post, I sketched out the history of Generalized Linear Models and their implementations. In this post I’ll attempt to outline how GLM functions evolved in R to handle large data sets. The first function to make it possible to build GLM models with datasets that are too big to fit into memory was...

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R and Python Meetups, Philippines

May 21, 2014
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There will be upcoming meetups for R User Group Philippines and Python Philippines (PythonPH) Community. Below are the details:R Meetuptopic: R for SAS users, and planning of RUG activities venue: 9/F Sun Life Centre, 5th Avenue corner Rizal Drive...

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Allez les Bleus !

May 20, 2014
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Allez les Bleus !

In almost three weeks, the (FIFA) World Cup will start, in Brazil. I have to admit that I am not a big fan of soccer, so I will not talk to much about it. Actually, I wanted to talk about colors, and variations on some colors. For instance, there are a lot of blues. In order to visualize standard...

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ICU Unicode text transforms in the R package stringi

May 20, 2014
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The ICU (International Components for Unicode) library provides very powerful and flexible ways to apply various Unicode text transforms. These include: Full (language-specific) case mappings, Unicode normalization, Text transliteration (e.g. script-to-script conversion). All of these are available to R programmers/users…Read more ›

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Ensemble Methods Part 3: Revolution Analytics Big Data Random Forest Function

May 20, 2014
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Ensemble Methods Part 3: Revolution Analytics Big Data Random Forest Function

by Mike Bowles In two previous posts, A Thumbnail History of Ensemble Methods and Ensemble Packages in R, Mike Bowles — a machine learning expert and serial entrepreneur — laid out a brief history of ensemble methods and described a few of the many implementations in R. In this post Mike takes a detailed look at the Random Forests...

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taxize v0.3.0 update – a new data source, taxonomy in writing, and uBio examples

May 20, 2014
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We just released v0.3 of taxize. For details on the update, see the release notes. Some new features New function iplant_resolve() to do name resolution using the iPlant name resolution service. Note, this is different from http://taxosaurus.org/ that is wrapped in the tnrs() function. New function ipni_search() to search for names in the International Plant Names Index (IPNI). See...

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Next Kölner R User Meeting: Friday, 23 May 2014

May 20, 2014
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Next Kölner R User Meeting: Friday, 23 May 2014

The next Cologne R user group meeting is scheduled for this Friday, 23 May 2014. To celebrate our 10th meeting we welcome: Andrie de Vries (Revolution Analytics and Co-author of R for Dummies): Taking R to the Enterprise Markus Gesmann: googleVis overview and recent developments Followed by drinks and schnitzel at the Lux.Further details available on our...

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Deploying Shiny Server on Amazon: Some Troubleshoots and Solutions

May 18, 2014
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Deploying Shiny Server on Amazon: Some Troubleshoots and Solutions

I really enjoyed Treb Allen‘s tutorial on deploying a Shiny server on an Amazon Cloud Instance. I used this approach for my shiny app that is a map highlighting the economic impact of the recent shale oil and gas boom on the places where the actual extraction happens. The easiest way to proceed is to

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