R Weekly 2022-W23 tickle package, on learning R
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Sam Parmar, with help from the R Weekly...continue reading.
R News from another blog for R community
Bayes in Riddler mode
A very classical (textbook) question on the Riddler on inferring the contents of an urn from an Hypergeometric experiment: You have an urn with N red and white balls, but...continue reading.
How to Use TailwindCSS in Shiny
At Appsilon we believe that a good-looking, well-designed interface is the key to making your Shiny Dashboard a success. TailwindCSS is a utility-first CSS framework created by one of the...continue reading.
Announcing pins for Python
We’re excited to announce the release of pins for Python! pins removes the hassle of managing data across projects, colleagues, and teams by providing a central place for people to...continue reading.
R will always be arcane to those who do not make a serious effort to learn it…
R will always be arcane to those who do not make a serious effort to learn it. It is not meant to be intuitive and easy for casual users to...continue reading.
RStudio Community Monthly Events Roundup – June 2022
Welcome to RStudio Community Monthly Events Roundup, where we update you on upcoming virtual events happening at RStudio this month. Missed the great talks and presentations from last month? Find...continue reading.
GitHub Actions for R developers, v2
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) –> We’re tickled pink to announce a v2 release of...continue reading.
Announcing RStudio for Microsoft Azure ML
Machine Learning Development in the Cloud Cloud platforms enable the machine learning lifecycle with variable scaling, lower start-up costs, and centralized data lakes. Data scientists who use these resources in...continue reading.
2022-02 Constructive Geometry for Complex Grobs
This document describes developments in the grobCoords() function in the R package ‘grid’, plus improvements to the ‘gridGeometry’ package that makes use of the grobCoords() …continue reading.
2022-01 Vectorised Pattern Fills in R Graphics
This document describes an extension of the support for pattern fills in R graphics (linear gradients, radial gradients, and tiling patterns) to allow multiple pattern …continue reading.
R Shiny in Agriculture – Top 5 Dashboard Examples
R Shiny is a no-brainer dashboarding choice for companies and individuals. There are thousands of Shiny dashboards in production today in every sector you can imagine – agriculture being no...continue reading.
Designing the Data Science Classroom Workshop at rstudio::conf(2022)
The data science ecosystem is constantly evolving. Packages are updated, new software is released, and fresh strategies are developed. For educators, the speed of the changes can be dizzying. They...continue reading.
Deep Learning with R, Second Edition Book Launch
We are excited to announce the MEAP release of Deep Learning with R, Second Edition! As part of the Manning Early Access Program (MEAP), you have early access to the...continue reading.
R Weekly 2022-W22 RScreencasts, Deep Learning with R
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Batool Almarzouq, with help from the R Weekly...continue reading.
Deep Learning with R, 2nd Edition
Announcing the release of “Deep Learning with R, 2nd Edition,” a book that shows you how to get started with deep learning in R.continue reading.
How to Use the Sklearn Linear Regression Function
In this tutorial, I’ll show you how to use the Sklearn Linear Regression function to create linear regression models in Python. I’ll quickly review what linear regression is, explain the...continue reading.
April: “Top 40” New CRAN Packages
hmer v1.0.1: Provides objects and functions for Bayes Linear emulation and history matching, including functions for automated training of emulators, diagnostic functions to ensure suitability, and a variety of methods...continue reading.
Summer School “Methods in Language Sciences” (16-20 August 2022, Ghent, Belgium): Registrations open
I was asked to advertise this summer school (I will be teaching a 2.5 day course on linear mixed modeling, and will give a keynote lecture on the use of...continue reading.
useR! 2022 [all virtual]
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