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scales 1.2.0

scales 1.2.0 brings a number of small but useful improvements to numeric labels

Hadley Wickham

Apr 13, 2022

tidyverse ggplot2 scales Visualization Tidyverse Packages

Q1 2022 tidymodels digest

There were 21 releases of tidymodels packages during Q1 of this year, and this post shares some highlights!

Julia Silge

Apr 1, 2022

tidyverse tidymodels textrecipes workflowsets dials Machine Learning Tidyverse Roundup

readxl 1.4.0

readxl 1.4.0 is a maintenance release with practically no user-facing changes, but extensive change to package internals

Jenny Bryan

Mar 28, 2022

tidyverse readxl Data Wrangling Tidyverse Packages

Updates for parsnip packages

The parsnip package and six of its extension packages were recently updated on CRAN. One of the extensions is a new package for fitting multilevel statistical models

Max Kuhn

Mar 24, 2022

tidyverse parsnip multilevelmod Machine Learning Tidyverse Packages

usemodels 0.2.0

A new release of the usemodels package makes it even easier to use tidymodels

Max Kuhn

Mar 23, 2022

tidyverse tidymodels Machine Learning Tidyverse Packages

ragg, svglite, and the new graphics features

ragg, svglite, and the new graphics features

The graphics engine in R is continually improving, and the ragg and svglite graphic devices follow along in supporting them. This blog post outlines what is now possible, and what might come in the future

Thomas Lin Pedersen

Feb 25, 2022

tidyverse ragg svglite ggplot2 Best Practices Graphics Tidyverse Deep-Dive

recipes 0.2.0

Recipes has added a few new steps along with many improvements

Max Kuhn

Feb 22, 2022

tidyverse recipes tidymodels Machine Learning Tidyverse Packages

Upgrading to testthat edition 3

A workflow for upgrading to testthat edition 3: activation, deprecations, changes to warnings, messages, and comparisons

Hannah Frick

Feb 22, 2022

tidyverse usethis devtools testthat Community Tidyverse Learn

Screenshot of two sections of post: Margin Figures, which has a plot in the margin; and Arbitrary Margin Content, which has text with a LaTeX equation in the margin.

Positioning Content in the Margin

This post demonstrates a few of the capabilities for positioning content in the margin of the page. You can read more about the complete capabilities in the [Article Layout Guide](https://quarto.org/docs/authoring/article-layout.html)

Charles Teague

Feb 17, 2022

Quarto Publishing Quarto Features Layout

Table 1: Example. Has two subtables: Subtable a, Cars, with columns for speed and dist; and subtable b, Pressure, with columns for temperature and pressure.

Customizing Table Output

This post provides an overview of these capabilities in Quarto. For more detail about all the features Quarto for authoring tables, see [Tables](https://quarto.org/docs/authoring/tables.html)

JJ Allaire

Feb 15, 2022

Quarto Publishing Quarto Features Authoring Tables

Three calout boxes: A note (has a blue banner with info icon preceding the header), a tip (has a green banner with lightbulb icon preceding the header), and an important (has a red banner with info exclamation-point icon preceding the header).

Using Callouts

Callouts are an excellent way to draw extra attention to certain concepts, or to more clearly indicate that certain content is supplemental or applicable to only some scenarios

Charles Teague

Feb 13, 2022

Quarto Publishing Quarto Features Authoring

tidyr 1.2.0

tidyr 1.2.0 includes a bunch of new features and bug fixes, particularly for pivoting, rectangling, and grid specific tools

Davis Vaughan

Feb 1, 2022

tidyverse tidyr Data Wrangling Tidyverse Packages

R Markdown Lesser-Known Tips & Tricks #2: Cleaning Up Your Code

R Markdown Lesser-Known Tips & Tricks #2: Cleaning Up Your Code

In this series, we show you lesser-known tips and tricks to help you work more effectively and efficiently in R Markdown. This second post focuses on cleaning up your R Markdown code

Brendan Cullen, Alison Hill, Isabella Velásquez

Jan 6, 2022

rmarkdown Publishing Product How-To R Markdown Rstudio

New error style coming up in rlang 1.0.0

New error style coming up in rlang 1.0.0

rlang 1.0.0 is near and introduces a new style of error display. Feedback welcome!

Lionel Henry

Dec 22, 2021

rlang cli Best Practices Tidyverse Packages

Integrating Dynamic R and Python Models in Tableau Using plumbertableau

Integrating Dynamic R and Python Models in Tableau Using plumbertableau

The plumbertableau and fastapitableau packages allow you to integrate dynamic R and Python models in Tableau, enhancing your organization’s preferred dashboard tool

Isabella Velásquez

Dec 20, 2021

plumbertableau Interactive Apps MLOps and Admin BI Tools Product How-To Rstudio

Closing out our year with a Q4 2021 tidymodels update

Closing out our year with a Q4 2021 tidymodels update

New features like an R Markdown template and Shiny app offer more robust support for modeling analyses, and our survey results outline some priorities for next year

Julia Silge

Dec 16, 2021

tidyverse tidymodels rsample shinymodels Machine Learning Survey Tidyverse Roundup

Sharing Data With the pins Package

The pins package publishes R objects, such as data sets and predictive models, on a virtual corkboard so that you can share and reuse them easily and safely

Katie Masiello, Isabella Velásquez

Dec 15, 2021

pins-r MLOps and Admin Pins Packages Rstudio

Pre-processing layers in keras: What they are and how to use them

Pre-processing layers in keras: What they are and how to use them

For keras, the last two releases have brought important new functionality, in terms of both low-level infrastructure and workflow enhancements. This post focuses on an outstanding example of the latter category: a new family of layers designed to help with pre-processing, data-augmentation, and feature-engineering tasks

Sigrid Keydana, Tomasz Kalinowski

Dec 9, 2021

keras3 Machine Learning Ai TensorFlow Keras

Using Keras for Deep Learning with R

We are excited to announce new developments in Keras for R. Data scientists can use the most popular and powerful deep learning frameworks to guide data-driven decisions, all within R

Isabella Velásquez

Dec 8, 2021

keras3 Machine Learning Ai Artificial Intelligence Deep Learning Packages Rstudio

Re-licensing packages: a retrospective

Over the past year and change we re-licensed the vast majority of tidyverse, tidymodels, and r-lib packages to use the MIT license. Here, we discuss the mechanics and rationale

Mara Averick

Dec 7, 2021

Community Tidyverse