3904 search results for "GIS"

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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qqman: an R package for creating Q-Q and manhattan plots from GWAS results

May 15, 2014
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qqman: an R package for creating Q-Q and manhattan plots from GWAS results

Three years ago I wrote a blog post on how to create manhattan plots in R. After hundreds of comments pointing out bugs and other issues, I've finally cleaned up this code and turned it into an R package.The qqman R package is on CRAN: http://cran.r-project.org/web/packages/qqman/The source code is on GitHub: https://github.com/stephenturner/qqmanIf you'd like to cite the...

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Quick History: glm()

May 15, 2014
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by Joseph Rickert I recently wrote about some R resources that are available for generalized linear models (GLMs). Looking over the material, I was amazed by the amount of effort that is continuing to go into GLMs, both with with respect to new theoretical developments and also in response to practical problems such as the need to deal with...

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