R

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MLOps with vetiver in Python and R: Answering your questions

October 18, 2022 |

We’d like to highlight and answer some of the great audience questions asked during the "MLOps with vetiver in Python and R" webinar.

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(Re)Introducing the "Solutions" website

May 27, 2021 |

RStudio's solutions website has been around for a long time and has recently undergone an extensive redesign

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RStudio: A Single Home for R and Python Data Science

January 13, 2021 |

Over the past year, RStudio has invested in making our pro and open source offerings the best common home for both R- and Python-based Data Science. In this blog post, we explain why we support both Python and R, review these recent features, and encourage readers to attend our upcoming webinar.

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Last Call for the 2020 R Community Survey

January 7, 2021 |

Only 2 days left before our survey closes! Please fill out our 3nd annual survey so that we can better understand today's R community. We'll publish the results in February 2021 as free and open source data.

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Exploring US COVID-19 Cases and Deaths

December 23, 2020 |

Arthur Steinmetz, former Chairman, CEO, and President of OppenheimerFunds, uses R and the tidymodels package to explore the relationship between COVID-19 cases and mortality in the US.

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Using R to Drive Agility in Clinical Reporting: Questions and Answers

October 8, 2020 |

Andy Nicholls and Michael Rimler from healthcare firm GlaxoSmithKline plc (GSK) answer questions posed during their recent webinar, Using R to Drive Agility in Clinical Reporting.

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Debunking R and Python Myths: Answering Your Questions

September 10, 2020 |

In this post, we answer questions raised by participants and attendees during our recent Debunking R & Python Myths webinar. Our bottom line was to use the tools that let you be most productive in the shortest amount of time.

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R vs. Python: What's the best language for Data Science?

December 17, 2019 |

We will briefly examine the debates over R vs. Python, and then share

Webinars

The Role of R in Drug Discovery, Research, and Development

July 18, 2019 |

The analytics required to bring a novel molecule to market involves the collective effort of hundreds of quantitative scientists, with incredibly diverse training, tools and workflows.