scales 1.1.0

scales 1.1.0 now available on CRAN. It includes a new naming scheme (with `breaks_` and `labels_` prefixes) and greatly improved documentation

Hadley Wickham

Variational convnets with tfprobability

In a Bayesian neural network, layer weights are distributions, not tensors. Using tfprobability, the R wrapper to TensorFlow Probability, we can build regular Keras models that have probabilistic layers, and thus get uncertainty estimates "for free". In this post, we show how to define, train and obtain predictions from a probabilistic convolutional neural network

dtplyr 1.0.0

A total rewrite of dtplyr is now available on CRAN; it performs computation lazily (like dbplyr), making it much more performant

Hadley Wickham

roxygen2 7.0.0

A massive update to roxygen2 now on CRAN

Hadley Wickham

haven 2.2.0

A new version of haven makes it easy to read only parts of a file

Hadley Wickham

My First Software Engineering Internship

How I went from being an amateur coder to being confident in my software development abilities

tfprobability 0.8 on CRAN: Now how can you use it?

Part of the r-tensorflow ecosystem, tfprobability is an R wrapper to TensorFlow Probability, the Python probabilistic programming framework developed by Google. We take the occasion of tfprobability's acceptance on CRAN to give a high-level introduction, highlighting interesting use cases and applications

renv: Project Environments for R

testthat 2.3.0

Hadley Wickham

Tidyverse dev day 2020

Join us for tidyverse developer day in San Francisco on January 31, 2020!

styler 1.2.0

A major update of the styler package is available on CRAN now

12 weeks at RStudio

This summer I interned for RStudio’s education team. It was a total departure from my routine as a PhD student, and the perfect brew of the things I enjoy: building stuff, drawing stuff, and teaching stuff

Workshops at rstudio::conf(2020)

A closer look at rstudio::conf(2020) workshops

What it Was Like Interning for RStudio

I spent the summer creating lessons to teach data science to software engineers. Here's what I learned along the way

Innocent unicorns considered harmful? How to experiment with GPT-2 from R

Is society ready to deal with challenges brought about by artificially-generated information - fake images, fake videos, fake text? While this post won't answer that question, it should help form an opinion on the threat exerted by fake text as of this writing, autumn 2019. We introduce gpt2, an R package that wraps OpenAI's public implementation of GPT-2, the language model that early this year surprised the NLP community with the unprecedented quality of its creations

My JavaScript Internship at RStudio

This summer I built a blocks based coding language for data transformation and visualization. But interning for RStudio gave me so much more than a project. Here's what I learned

Tools for Teaching YAML with ymlthis

I spent my summer internship at RStudio trying to reckon with the YAML problem: R Markdown is pretty easy to learn, but students often trip over YAML. Here are some tools to help with teaching this tricky subject

discrim 0.0.1

The first version of discrim (0.0.1) is on CRAN

Max Kuhn

A Summer of RStudio and ggplot2

This past summer, I had the incredible opportunity to spend the summer as an RStudio intern working with Hadley Wickham on a few new features for the ggplot2 package

Shiny 1.4.0

Winston Chang