April 2019

C++ is Often Used in R Packages

April 3, 2019 | John Mount

The recent r-project article “Use of C++ in Packages” stated as its own summary of recommendation: don’t use C++ to interface with R. A careful reading of the article exposes at least two possible meanings of this: Don’t use C++ to directly call R or directly manipulate R ... [Read more...]

A text mining function for websites

April 3, 2019 | experimentalbehaviour

For one of my projects I needed to download text from multiple websites. In this case, I used rvest and dplyr. Accessing the information you want can be relatively easy if the sources come from the same websites, but pretty tedious when the websites are heterogenous. The reason is how ... [Read more...]

Bayes vs. the Invaders! Part One: The 37th Parallel

April 3, 2019 | tealeaf

Introduction From our earlier studies of UFO sightings, a recurring question has been the extent to which the frequency of sightings of inexplicable otherworldly phenomena depends on the population of an area. Intuitively: where there are more people to catch a glimpse of the unknown, there will be more reports... [Read more...]

Don’t forget the “utils” package in R

April 3, 2019 | Andrew Treadway

With thousands of powerful packages, it’s easy to glaze over the libraries that come preinstalled with R. Thus, this post will talk about some of the cool functions in the utils package, which comes with a standard installation of R. While utils comes with several familiar functions, like read....
[Read more...]

Mapping the Vikings using R

April 3, 2019 | nsaunders

The commute to my workplace is 90 minutes each way. Podcasts are my friend. I’m a long-time listener of In Our Time and enjoyed the recent episode about The Danelaw. Melvyn and I hail from the same part of the world, and I learned as a child that many of ...
[Read more...]

Standard Evaluation Versus Non-Standard Evaluation in R

April 2, 2019 | John Mount

There is a lot of unnecessary worry over “Non Standard Evaluation” (NSE) in R versus “Standard Evaluation” (SE, or standard “variables names refer to values” evaluation). This very author is guilty of over-discussing the issue. But let’s give this yet another try. The entire difference between NSE and regular ...
[Read more...]

Data: a cultural transformation and not a quick fix

April 2, 2019 | Laura Swales

Amid stronger business competition than ever before, companies need to do more than simply embrace buzzwords or trends. It’s something we see all the time when out in the field talking to customers, or speaking at events. When it comes to the role of data, the emphasis should instead ...
[Read more...]

Random sampling of files

April 2, 2019 | Bruno Silva

A great part of my job as a bat ecologist is to classify bat species from their echolocation calls. I regularly use automatic recording devices that generate thousands of recordings per location. Dealing with this huge amount of information is not an easy task as you can imagine. In the ... [Read more...]

tint 0.1.1: New Styles

April 1, 2019 | Thinking inside the box

With almost year passed since the previous 0.1.0 release, a nice new release of the tint package arrived on CRAN today. Its name expands from tint is not tufte as the package offers a fresher take on the Tufte-style for html and pdf presentations. Th... [Read more...]

Gravity Falls and Tidy Data Principles (Part 2)

April 1, 2019 | Pachá

Motivation The first part left an open door to analyze Gravity Falls contents using tf-idf, bag-of-words or some other NLP techniques. Here I’m also taking a lot of ideas from Julia Silge’s blog. Note: If some images appear too small on your screen you can open them in ...
[Read more...]

Gravity Falls and Tidy Data Principles (Part 2)

April 1, 2019 | Pachá

Motivation The first part left an open door to analyze Gravity Falls contents using tf-idf, bag-of-words or some other NLP techniques. Here I’m also taking a lot of ideas from Julia Silge’s blog. Note: If some images appear too small on your screen you can open them in ...
[Read more...]

A unified syntax for accessing models’ information

April 1, 2019 | R on easystats

The richness and variety of packages for building and fitting statistical models in R is absolutely astonishing and contributes to the language’s popularity. However, this diversity makes it hard for developpers that want to create tools that work with different types of models. Indeed, the way to access models’ ... [Read more...]
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