October 2019

Visualize urban growth

October 31, 2019 | R on Dominic Royé

The General Directorate for the Cadastre of Spain has spatial information of the all buildings except for the Basque Country and Navarra. This data set is part of the implementation of INSPIRE, the Space Information Infrastructure in Europe. More in...
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Selecting columns based on type

October 31, 2019 | R on Abhijit Dasgupta

The tidyverse and, in particular, dplyr, provides functions to select columns from a data frame. There are three scoped functions available: select_all, select_if and select_at. In this post, we’ll look at a particular application of select_if, i.e., capturing the names of numeric variables. A ...
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Geographic distance

October 31, 2019 | R on Dominic Royé

The first post of this year 2020, I will dedicate to a question that I was recently asked. The question was how to calculate the shortest distance between different points and how to know which is the closest point. When we work with spatial data in R, currently the easiest thing ...
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Visualize urban growth

October 31, 2019 | R on Dominic Royé

The General Directorate for the Cadastre of Spain has spatial information of the all buildings except for the Basque Country and Navarra. This data set is part of the implementation of INSPIRE, the Space Information Infrastructure in Europe. More information can be found here. We will use the links (urls) ...
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New package: simfinR

October 31, 2019 | R on msperlin

Introduction In my latest post I wrote about package GetEdgarData, which downloaded structured data from the SEC. I’ve been working on this project and soon realized that the available data at the SEC/DERA section is not complete. For example, all Q4 statements are missing. This seems to be ... [Read more...]

Offensive Programming in action (part III)

October 30, 2019 | Neonira

This is the third post on offensive programming, dedicated to using offensive programming (OP). You may refer to easy introduction to offensive programming to acquire some basic knowledge about offensive programming, and to discover offensive progra...
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A brief primer on Variational Inference

October 30, 2019 | Fabian Dablander

Bayesian inference using Markov chain Monte Carlo methods can be notoriously slow. In this blog post, we reframe Bayesian inference as an optimization problem using variational inference, markedly speeding up computation. We derive the variational objective function, implement coordinate ascent mean-field variational inference for a simple linear regression example in ...
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The Mysterious Case of the Ghost Interaction

October 29, 2019 | R on I Should Be Writing: Est. 1641

This spooky post was written in collaboration with Yoav Kessler (@yoav_kessler) and Naama Yavor (@namivor).. Experimental psychology is moving away from repeated-measures-ANOVAs, and towards linear mixed models (LMM1). LMMs have many advantages over rmANOVA, including (but not limited to): Analysis of single trial data (as opposed to aggregated means ...
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Enlarging the eBook supply

October 29, 2019 | nashjc

There has been a campaign by members of the Canadian library community to ask international publishers to reduce prices to libraries for eBooks.  If my experience in the scientific publishing arena is any guide, the publishers will continue to charge the maximum they can get until the marketplace — that is ... [Read more...]

What’s new in DALEX v 0.4.9?

October 29, 2019 | smarterpoland

Few days ago a new version of DALEX was accepted by CRAN (v 0.4.9). Here you will find short overview what was added/changed. DALEX is an R package with methods for visual explanation and exploration of predictive models.Here you will find short overview with examples based on Titanic data. ... [Read more...]

Extracting basic Plots from Novels: Dracula is a Man in a Hole

October 29, 2019 | Learning Machines

In 1965 the University of Chicago rejected Kurt Vonnegut’s college thesis, which claimed that all stories shared common structures, or “shapes”, including “Man in a Hole”, “Boy gets Girl” and “Cinderella”. Many years later the then already legendary Vonnegut gave a hilarious lecture on this idea – before continuing to read ... [Read more...]
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