R Consortium recently talked to Till Straube of the Campus UseR Group, Frankfurt, Germany, about the group’s aim to provide an informal knowledge-sharing environment for Campus R users. The unique... The post Campus useR Group Frankfurt Using Non-Traditional Techniques to Increase Information Sharing appeared first on R Consortium.

We care about the impact our work has on the world around us. That’s why we want to ensure our work paves the way to a sustainable future. Using 🌍Data for Good is how we achieve this.  Technology can help resolve sustainability challenges related to climate change and biodiversity ...

Enhance your data science toolkit with our “Introduction to R Shiny” learning path: build your first shiny app, make it shine and robust, build a package and bring it to production. R is among the most popular programming, scripting, and markup lang...

As data scientists, it can be downright impossible to drill into messy data. Fortunately, there’s a new R package that helps us focus on a “high-density region”, which is simply an area in a scatter plot defined by a high percentage of the data points....

Introduction In this post, the Technology Adoption data set is used to illustrate data exploration R and adding information using the {countrycode} package. During data exploration, the tt$technology data set is filtered to select for the “Energy” c...

This time ISF took place in Oxford. I acted as a programme chair of the event and was quite busy with schedule and some other minor organisational things, but I still found time to present something new. Specifically, I talked about one specific part of ADAM, the part implementing ETS+...

This post is the final installment of a 3-part series highlighting 35 new entries to Big Book of R. Read part 1 and part 2. The site now has well over 300 free R programming titles. Onto the third batch of new books! Financial Econometrics – R Tutorial Guidance by … The post Part 3 of 3: 300+ milestone ...

Beginning with the invitation-only 2016 Shiny Developer Conference, Shiny has played a prominent part in all RStudio conferences, and rstudio::conf(2022) is no exception. Two workshops and eighteen talks showcase Shiny’s multiple, ever-increasing capabilities. What started out as a way to introduce R’s interactive statistical computations to the web ...