3750 search results for "gis"

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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May 30: 5th MilanoR meeting

May 19, 2014
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May 30: 5th MilanoR meeting

(Leggi la pagina in italiano) Dear R users and enthusiasts, MilanoR staff is happy to announce the next MilanoR meeting. The next MilanoR meeting will be on Friday 30 May, at 6 pm. The meeting will take place at: Fiori … Continue reading →

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R jobs (May 19th 2014)

May 19, 2014
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r_jobs

This is the bimonthly R Jobs post (for 2014-05-19), based on the R-bloggers’ sister website: R-users.com. If you are an employer who is looking to hire people from the R community, please visit this link to post a new R job (it’s free, and registration takes less than 10 seconds). If you are a job seekers, please follow the links below to learn more and apply for your job of interest (or visit previous...

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May 30: 5th MilanoR meeting

May 19, 2014
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May 30: 5th MilanoR meeting

(Not English-speaking? Leggi la pagina in italiano) Dear R users and enthusiasts, MilanoR staff is happy to announce the next MilanoR meeting. The next MilanoR meeting will be on Friday 30 May, at 6 pm. The meeting will take place … Continue reading →

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R is short for SSIS

May 18, 2014
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R is Short for SSIS Data scientists often identify a need to join data from different, unlinked servers. One standard tool for accomplishing this is an SSIS package to consolidate the data onto one of the servers. For the analyst who wants to...

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Vectorizing IPv4 Address Conversions – Part 2

May 17, 2014
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Vectorizing IPv4 Address Conversions – Part 2

The previous post looked at using the Vectorize() function to, well, vectorize, our Rcpp IPv4 functions. While this is a completely acceptable practice, we can perform the vectorization 100% in Rcpp/C++. We’ve included both the original Rcpp IPv4 functions and the new Rcpp-vectorized functions together to show the minimal differences between them: #include <Rcpp.h> #include <boost/asio/ip/address_v4.hpp> using namespace Rcpp; using namespace boost::asio::ip; // Rcpp/C++ vectorized routines // ] NumericVector rcpp_rinet_pton (CharacterVector...

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Vectorizing IPv4 Address Conversions – Part 1

May 16, 2014
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Our previous post showed how to speed up the conversion of IPv4 addresses to/from integer format by taking advantage of a simple Rcpp wrapper to “boosted” native functions. However, to convert more than one IP address, you need to stick those functions into one of the R *apply functions, which does the job, but is not an optimal...

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Can We do Better than R-squared?

May 16, 2014
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Can We do Better than R-squared?

Blog post: R-squared can mislead us. Here are two related statistics for a better assessment of regression models.

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R has some sharp corners

May 15, 2014
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R has some sharp corners

R is definitely our first choice go-to analysis system. In our opinion you really shouldn’t use something else until you have an articulated reason (be it a need for larger data scale, different programming language, better data source integration, or something else). The advantages of R are numerous: Single integrated work environment. Powerful unified scripting/programming Related posts:

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The Mind Is Flat! So Stop Overfitting Choice Models

May 15, 2014
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The Mind Is Flat! So Stop Overfitting Choice Models

Conjoint analysis and choice modeling rely on repeated observations from the same individuals across many different scenarios where the features have been systematically manipulated in order to estimate the impact of varying each feature. We believe th...

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