scales 1.3.0
We’re delighted to announce the release of scales 1.3.0. scales is a packages that extracts much of the scaling logic that is used in ggplot2 to a general framework, along...continue reading.
We’re delighted to announce the release of scales 1.3.0. scales is a packages that extracts much of the scaling logic that is used in ggplot2 to a general framework, along...continue reading.
We’re delighted to announce the release of httr21 1.0.0. httr2 is the second generation of httr: it helps you generate HTTP requests and process the responses, designed with an eye...continue reading.
Twice a year, the tidymodels team comes together for “spring cleaning,” a week-long project devoted to package maintenance. Ahead of the week, we come up with a list of maintenance...continue reading.
We’re chuffed to announce the release of dbplyr 2.4.0. dbplyr is a database backend for dplyr that allows you to use a remote database as if it was a collection...continue reading.
We’re chuffed to announce the release of testthat 3.2.0. testthat makes it easy to turn your existing informal tests into formal, automated tests that you can rerun quickly and easily....continue reading.
The tidymodels framework is a collection of R packages for modeling and machine learning using tidyverse principles. Since the beginning of 2021, we have been publishing quarterly updates here on...continue reading.
We’re delighted to announce the release of pak 0.6.0. pak helps with the installation of R packages and many related tasks. You can install pak from CRAN with: install.packages(“pak”) If...continue reading.
We’re chuffed to announce the release of a new interface to validation splits in rsample 1.2.0 and tune 1.1.2. The rsample package makes it easy to create resamples for assessing...continue reading.
Another year, another roundup of tidyverse updates, through the lens of an educator. As with previous teaching the tidyverse posts, much of what is discussed in this blog post has...continue reading.
Last year at rstudio::conf(2022) Jeff Leek shared about the Data Trail program. DataTrail is a no-cost, paid 14-week educational initiative for young-adult, high school and GED-graduates. DataTrail aims to equip...continue reading.
The tidymodels framework is a collection of R packages for modeling and machine learning using tidyverse principles. Since the beginning of 2021, we have been publishing quarterly updates here on...continue reading.
We’re thrilled to announce the publication of the 2nd edition of R for Data Science. The second edition is a major reworking of the first edition, removing material we no...continue reading.
We’re chuffed to announce the release of gmailr 2.0.0. gmailr exposes the Gmail API from R. You can install it from CRAN with: install.packages(“gmailr”) The main goal of version 2.0.0...continue reading.
5x height * [x] [`hugodown::use_tidy_thumbnails()`](https://rdrr.io/pkg/hugodown/man/use_tidy_post.html) * [ ] `Add intro sentence, e.g. the standard tagline for the package * [ ] `usethis::use_tidy_thanks()` –> When Spring arrives in the Northern hemisphere,...continue reading.
At Posit, we strive to write high quality code to ensure that you, our users, have the best experience possible. We feel that the code review process plays a critical...continue reading.
Meet the map() family purrr’s map() family of functions are tools for iteration, performing the same action on multiple inputs. If you’re new to purrr, the Iteration chapter of R...continue reading.
We’re tickled pink to announce the release of desirability2 (version 0.0.1). You can install it from CRAN with: install.packages("desirability2") This blog post will introduce you to the package and desirability...continue reading.
5x height * [x] [`hugodown::use_tidy_thumbnails()`](https://rdrr.io/pkg/hugodown/man/use_tidy_post.html) * [x] Add intro sentence, e.g. the standard tagline for the package * [x] [`usethis::use_tidy_thanks()`](https://usethis.r-lib.org/reference/use_tidy_thanks.html) –> The tidymodels framework is a collection of R packages...continue reading.
Note: The following has been adapted from a section of the forthcoming second edition of R for Data Science that had to be removed due to length limitations. Pipes R...continue reading.
The tidymodels team recently released new versions of the tune, finetune, and workflowsets packages, and we’re super stoked about it! Each of these three packages facilitates tuning hyperparameters in tidymodels,...continue reading.