September 2019

Tidy forecasting in R

September 28, 2019 | R on Rob J Hyndman

The fable package for doing tidy forecasting in R is now on CRAN. Like tsibble and feasts, it is also part of the tidyverts family of packages for analysing, modelling and forecasting many related time series (stored as tsibbles). For a brief introduction to tsibbles, see this post from last ...
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Matrix cross-distances using Rcpp

September 27, 2019 | r-bloggers on mpjdem.xyz

I promised to keep these posts short and sweet, and have been failing miserably lately. So how about a quick one? The problem One of the things I find myself implementing again and again in R is the computation of the Euclidean cross-distances of all pairwise points between two coordinate ... [Read more...]

Coding algorithms in R for models written in Stan

September 27, 2019 | Pierre Jacob

Hi all, On top of recommending the excellent autobiography of Stanislaw Ulam, this post is about using the software Stan, but not directly to perform inference, instead to obtain R functions to evaluate a target’s probability density function and its gradient. With which, one can implement custom methods, while ...
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Mapping the Underlying Social Structure of Reddit

September 27, 2019 | Posts on Data Science Diarist

Reddit is a popular website for opinion sharing and news aggregation. The site consists of thousands of user-made forums, called subreddits, which cover a broad range of subjects, including politics, sports, technology, personal hobbies, and self-improvement. Given that most Reddit users contribute to multiple subreddits, one might think of Reddit ...
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100% Stacked Chicklets

September 27, 2019 | hrbrmstr

I posted a visualization of email safety status (a.k.a. DMARC) of the Fortune 500 (2017 list) the other day on Twitter and received this spiffy request from @MarkAltosaar: Would you be willing to add the R code used to produce this to your vignette for ggchicklet? I would love to ...
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Gold-Mining Week 4 (2019)

September 27, 2019 | Michael Griebe

Welcome to the 2019 Fantasy Football Season! Week 4 Gold Mining and Fantasy Football Projection Roundup now available. The post Gold-Mining Week 4 (2019) appeared first on Fantasy Football Analytics. [Read more...]

Why Do We Plot Predictions on the x-axis?

September 27, 2019 | Nina Zumel

When studying regression models, One of the first diagnostic plots most students learn is to plot residuals versus the model’s predictions (that is, with the predictions on the x-axis). Here’s a basic example. # build an "ideal" linear process. set.seed(34524) N = 100 x1 = runif(N) x2 = runif(N) noise = 0.25*...
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Conference abstract bi-grams – FOSS4GUK

September 27, 2019 | mikerspencer

I helped run a conference last week. As part of this I produced a wordcloud from the conference abstracts, although pretty it could have been more informative of the conference content. This blog post shows you how to make a network of conference bi-grams.
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How to Prepare Data

September 26, 2019 | John Mount

Real world data can present a number of challenges to data science workflows. Even properly structured data (each interesting measurement already landed in distinct columns), can present problems, such as missing values and high cardinality categorical variables. In this note we describe some great tools for working with such data. ... [Read more...]
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