RStudio is proud to be sponsoring Lander Analytics’s annual gathering, the Government & Public Sector R Conference. For the fifth time, Lander Analytics is bringing world-class data scientists together to share cutting-edge research and presentations in Washington, D.C., and virtually around the world. What should I expect? Three insightful days focusing on the work done in government, non-governmental organizations, defense, and the public sector. Content will range from exciting case studies on making proprietary data accessible, to innovative applications of tools like vetiver , to best ..read more

This is our rstudio::glimpse() newsletter. If you're reading this on the blog, you can subscribe here to receive this newsletter in your inbox. Opening This is our last newsletter as RStudio — the next time this newsletter lands in your inbox, we’ll be Posit! As with any transition, I’m excited about what’s ahead and also grateful for everything that has led to getting here. We asked employees what the name RStudio meant to them, and of course there was ‘hexagon’, but there was also ‘community’, ‘encouragement’, ‘welcoming’, ‘collaboration’, ‘creativity’, ‘growth’, ‘purpose’, ‘tools’ and ‘open ..read more

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 them listed under ICYMI: September/October 2022 Events. You can subscribe to the Community Events Calendar so that new events will automatically appear on your calendar. Please note that by subscribing, all of the events in the calendar will appear on your own calendar. If you wish to add individual events instead, please use the links below. We can’t wait to see you there! Save the Date October 27 ..read more

rstudio::conf(2022), our main event for all things R and RStudio, ended in July. The workshop instructors, teaching assistants, speakers, and folks behind the scenes did a fantastic job delivering hours of incredible content over four days. The conference may be over, but all the talks and keynotes are now available on YouTube. We hope you catch up on a talk you may have missed, rewatch a keynote or two, or take the opportunity to learn about a new package. The playlist is available to watch on YouTube, or you can browse the talk titles, speakers, and abstracts here. All videos have English ca ..read more

R/Pharma is here! Running until November 10th, this free conference focuses on the use of R and other open-source software in the development of pharmaceuticals. We are excited to announce various workshops and sessions led by our RStudio colleagues. Register for the event to learn how RStudio is supporting open source in pharma. Workshops start on October 25th – see them all on the workshop page. October 25th Workshop: Shiny for Python, hosted by Ryan Johnson (registration page) October 27th Workshop: How to use pointblank to understand, validate, and document your data, hosted by Rich Ian ..read more

As a follow-up to last month’s MLOps with vetiver in Python and R webinar, we’d like to highlight and answer some of the great audience questions asked during the session. You can also check out the demo and slides on the webinar’s website. Questions from attendees fell into four main categories: Trying out vetiver How to use APIs for machine learning Integrations Vetiver and RStudio Connect Trying out vetiver Are the performance metrics customizable? Performance metrics are customizable. Customizing metrics in R requires you to make a custom yardstick metric. Customizing metrics in Python r ..read more

This is a guest post from Nicola Rennie. Nicola is a statistician and data scientist, passionate about using R to solve problems. She currently works at Jumping Rivers having previously completed her PhD in statistics and operational research at Lancaster University. She enjoys sharing her knowledge of R, creating data visualizations, and helping clients learn from their data. Before we get started, I want to clarify that this blog post is about developing Shiny applications in multiple spoken languages - not multiple programming languages. In the last few years, we’ve seen many Shiny dashbo ..read more

In 2022, the Denver Broncos opted not to tender an offer to wide receiver Diontae Spencer and instead signed a new return man. The team is missing out. Among his 2020 peers, Diontae Spencer had the best decision-making ability to find and follow the optimal path to the end zone, according to an algorithm created by the 2022 NFL Big Data Bowl winners, Robyn Ritchie, Brendan Kumagai, Ryker Moreau, and Elijah Cavan. For four years, the NFL Big Data Bowl has invited data scientists to explore statistical innovations in the NFL. Contestants work with Next Gen Stats alongside traditional football da ..read more

This is a guest post from Guillaume Desachy, Statistical Science Director at AstraZeneca. Since March 2022, Guillaume has been leading a team of 15 collaborators focusing on building the community of R users at AstraZeneca, called R @ AZ. Get in touch on LinkedIn. Back in early 2021, a few of us at AstraZeneca got together and reflected on the growing importance of R in our organization. R was far from being a new thing at AstraZeneca and a long way from being a fad. However, we didn’t know who the R users at AstraZeneca were, and there wasn’t any kind of forum where R users could meet. So we ..read more

Bilingual teams that want to do serious data science require collaboration, transparency, and reproducibility across R and Python workflows while empowering professionals to work in their preferred language(s). Accomplishing this requires tools built for interoperability at scale and a shared standard between data science languages. Here are a few recommendations to achieve this: Adopt a bilingual IDE Embrace an interoperable enterprise ecosystem Use packages that enable bilingual bilingual data science teams Instill syntactic consistency between R and Python Let’s dive into each of these re ..read more