Posit PBC
@posit_pbc
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The open-source data science company for the individual, team and enterprise.
Boston
Joined January 2011
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In light of the recently disclosed incident of sexual harassment at DataCamp and their response to it, including the attempt to conceal their public acknowledgement from search engines, we want to share the steps that we have taken:
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RStudio v1.4 Preview Release, including a new visual markdown editor, is available now!
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Read the Forrester Wave™: Notebook-Based Predictive Analytics and Machine Learning, Q3 2020 report and see why RStudio was named a Strong Performer.
A great resource for organizations considering our commercial products!
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We are proud to officially announce RStudio v1.2
The IDE includes dozens of new productivity enhancements and capabilities
Read the update at
#rstats
#DataScience
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RStudio announces today that we are a Certified B-Corp!
As a Public Benefit Corp, our long-term mission of creating free & open-source software for data science & scientific research is now part of our corporate charter.
Read more at
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We are unequivocally opposed to harassment or assault of any kind, in or out of the workplace. We want
#rstats
to be a welcoming and inclusive community, and that cannot occur without first ensuring that everyone is safe.
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We are excited to announce that RStudio, PBC will become Posit, PBC in October!
More information here:
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RStudio Conference 2020 videos are all now available for streaming!
Over 100 talks on everything R and RStudio.
#rstats
#rstudioconf2020
#rstudioconf
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New in
@rstudio
1.4 preview: select Python interpreters, see your Python data in the Environment pane, and view plots from matplotlib & seaborn.
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We're excited to announce Quarto, a new open-source scientific and technical publishing system.
Quarto is the next generation of R Markdown and takes what we've learned from the last 10 years and weave it into a more complete, cohesive whole.
Read more:
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Announcing Distill for R Markdown v1.0:
A publishing format optimized for scientific and technical articles, websites, and blogs.
#RMarkdown
#RStats
#RStudio
#DataScience
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Register for rstudio::global(2021) Now!
A 24-hour virtual event focused on all things R and RStudio.
Learn more and register now at
#RStudio
#RStats
#DataScience
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Integrated Tutorials are now in the preview release of RStudio 1.3.
We’re excited to announce that RStudio v1.3 gains a newly-minted pane: the Tutorial pane, used to host tutorials powered by the learnr package.
Learn more:
#rstats
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Teams are increasingly distributed. New tools are proliferating & improving rapidly.
Is your team integrating these technologies & collaborating as effectively as possible?
@MangoTheCat
explores Future-Proofing Your Data Science Team
#SeriousDataScience
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rstudio::global(2021)
Today, we are thrilled to announce that rstudio::global(2021), our first ever virtual event focused on all things R and RStudio, now has a date locked in: January 21, 2021!
Learn more at
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Announcing Radix, a new R Markdown format for web-native scientific and technical writing:
#rstats
#rmarkdown
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`We are happy to announce our upcoming book "R Markdown: The Definitive Guide", authored by
@xieyihui
@fly_upside_down
@StatGarrett
and published by
@CRCPress
:
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1. We have removed all links to DataCamp from our websites and have requested that DataCamp stop using our instructors' names and likenesses on their website.
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2. We have indefinitely suspended discussions with DataCamp for a new content license agreement to replace our existing agreement, which is set to expire shortly and is not being renewed.
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We have revamped the bookdown website (). Please come and see the 200 free and open-source books! Learn more about how you can contribute more books to or help us improve the website at
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We have some wonderful news: RStudio is now Posit! 🎉
While many things will stay the same, our rebrand will result in changes beyond a new name. To start, our new website is now live. Please check out our new home and let us know what you think!
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learnr 0.10.0 is out!
The learnr package makes it easy to turn any R Markdown document into an interactive tutorial.
Include narrative, figures, code exercises, quiz questions, videos and shiny components.
#rstats
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We’re pleased to announce blastula, a package for creating beautiful custom emails in R. Use blastula to: Compose custom email bodies based on code, code output, and markdown, and Send emails.
Learn more at
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Join us for "R & Python, a Data Science Love Story"
Live on January 16, 2020 at 11am-12pm EST
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#rstudioconf
2019 featured 15 workshops on tidyverse, R Markdown, modeling and ML, tensorflow, R best practices, shiny in production and at scale and much more.
Check out materials from those workshops here:
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Did R Views just make a cheat sheet for all the great cheat sheets?
Cheat Sheets provide a simple resource for quick reference. Join
@RStudioJoe
on R Views as he surveys just how valuable these resources have become.
#RStats
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Announcing the Winners of the 1st Shiny Contest
136 submissions, 4 winners, 6 runners-up, and 21 honorable mentions.
See some of the great work shared by the
#shiny
developer community.
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Join us for "MODELING IN DATABASES WITH R"
A webinar presentation by
@theotheredgar
Solutions Engineer at RStudio
Live on July 24th at 1:00PM EDT
Learn more and register at
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Introducing real-time collaborative editing on RStudio Cloud! 🎉
For Premium, Instructor, or Organization account holders, up to 5 users can access a project at the same time. Users can edit code & immediately see changes made by others.
Learn more:
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RStudio: A Single Home for R and Python 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.
Learn more at
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The TidyModels website at was just launched today!
TidyModels is a collection of
#rstats
packages for modeling & machine learning workflows using
#tidyverse
principles.
Thank you to the TidyModels and Tidyverse teams for making this happen!
#tidymodels
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Ever struggle with R packages at work? Check out RStudio Package Manager, a new product to organize and centralize R packages across your team.
Available in beta today at .
Discuss at
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We have made the very difficult decision to cancel rstudio:conf(2022).
Given the resurgence of COVID-19 & inherent risks to the community & our employees, it feels irresponsible to proceed.
Please stay tuned as we consider other options.
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R vs. Python: What's the best language for Data Science?
Read more on RStudio Blog:
#RStats
#python
#pyData
#DataScience
#OpenScience
#OpenData
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Thank you for all these R Markdown tips and tricks!
We received so many responses we needed to make a series.
Check out post
#1
on how your fellow
#rstats
users work in the RStudio IDE!
GIF: ⌘+⌥+I / Win+Alt+I splits a code chunk.
#rstats
friends: what are your favorite “lesser known” tips & tricks for using R Markdown? e.g. any feature(s) (big or small) you’ve picked up at some point along your
#rmarkdown
journey that you now use on a regular basis and wish you knew earlier? 👀👂
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R & Python: A Love Story
Help your Data Science teams tap into the strengths of R & Python with RStudio's open-source and professional products.
Watch this space, much more to come soon.
#RStats
#python
#pyData
#DataScience
#OpenScience
#OpenData
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The R Markdown team summarizes the latest from the R Markdown family of packages.
Including updates on
#RMarkdown
, bookdown, tinytex, rticles, distill, knitr, tufte, pagedown, blogdown, and more.
#RStats
#DataScience
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Announcing the 1st Shiny Contest
In order to encourage more sharing, as well as to recognize the many outstanding ways people work with Shiny, we are happy to announce the first contest to recognize outstanding Shiny applications!
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ggplot 2 is an enhanced data visualization package for R, based on Wilkinson's The Grammar of Graphics. Create stunning multi-layered graphics with ease.
Cheatsheet
#rstats
#DataScience
#tidyverse
-tour
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Announcing blogdown 1.0!
The
#RMarkdown
team is happy to share that
#blogdown
version 1.0 is now available on CRAN.
blogdown was originally released in the fall of 2017. The latest version includes some significant improvements.
Learn more at
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{clock} is a new package providing a comprehensive set of tools for working with date-times. It is packed with features, including utilities for: parsing, formatting, arithmetic, rounding, and extraction/updating of individual components.
I am ridiculously excited to announce that clock, a new
#rstats
📦 for working with date-time data, is now on CRAN!
clock provides comprehensive and safe manipulation of date-times, and is packed with features that I can't wait for you to learn about!
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RStudio Cloud - We are pleased to bring everyone the ability to do, teach, learn, & share data science using only a browser.
Learn more about RStudio Cloud’s general availability at
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RStudio v1.4 Preview: Multiple Source Columns
Multiple source columns give you the ability to view your source editors side-by-side and quickly reference code and data without switching tabs.
#RStats
#RStudio
#DataScience
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Our first artist in residence.
@allison_horst
joins RStudio as artist in residence.
#rstats
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Sending a huge thank you to everyone who joined us for rstudio::conf 2020. We are overwhelmed with appreciation and inspired to continue serving this special community. Enjoy a relaxing weekend and see you next year in Orlando, Florida.
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Some data science tools you see are useful to reach quick results, but they will make it hard to apply that work to future situations.
Build your analysis with code, not clicks
Learn how
#SeriousDataScience
can help.
@loubajuk
@cdhowe
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gt v0.2 is available on CRAN now!
Welcome to the "Grammar of Tables".
This R-package eases the creation of information-rich, publication-ready display tables from R.
#rstats
The first release of the gt package (v0.2) is now available in CRAN!
This RStudio blog post () explains what the package is all about (making great looking tables) and how to get started.
#rstats
#gt_tables
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{rvest} 1.0.0!
{rvest} helps you scrape (or harvest) data from web pages. It is designed to work with {magrittr} to make it easy to express common web scraping tasks
Improvement include better text and table handling.
Learn more on the
#tidyverse
blog.
#rstats
rvest 1.0.0 out now! — . Includes improved html_table(), new html_text2(), and many small improvements to better align with modern tidyverse style
#rstats
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How does California's Department of Public Health use
#RShiny
to Fight COVID-19?
#datascience
#rstats
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Are you ready to use the strengths of RStudio to mix R and Python?
Join
@lopp_sean
&
@loubajuk
for "RStudio: A Single Home for R & Python".
The webinar recording is available now at
#RStats
#rmarkdown
#pydata
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Announcing the 1st Bookdown Contest: We cordially invite you to submit your bookdown examples, so that future authors may create more beautiful/free/open-access books and future students no longer need to struggle with formatting their dissertations!
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Mastering Apache Spark with R is available now!
This practical book guides you on using
#ApacheSpark
from
#RStats
to tackle
#BigData
& big compute problems
by
@javierluraschi
,
@kevinykuo
, &
@theotheredgar
Free online:
Buy the book
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rstudio::conf(2022) is coming July 25-28 to National Harbor, DC!
More soon on our amazing keynote speakers, tutorials, diversity scholarship, & what we’ll be doing to keep y’all safe.
Please save the date & read on if you’re interested in submitting a talk
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📢 Announcing keynote and talk recordings from rstudio::conf(2022)!
⬡ Keynotes:
⬡ Talks:
Keep an eye out for a blog post that summarizes conf materials 👀
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Anyone up for a game of woRdle? RStudio’s
@winston_chang
kicks off day one of this four-part series by showing you how he approaches building a Wordle app – in Shiny!
#rstats
#rshiny
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Join us for "RSTUDIO LOCAL JOBS AND REMOTE LAUNCHER: OFFLOAD YOUR WORK AND UNBLOCK YOUR CONSOLE"
A webinar by
@Blairj09M
, Solutions Engineer at RStudio
Live on August 7th, at 1:00PM EDT
Learn more and register at
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renv: Project Environments for R
We’re excited to announce that renv is now available on CRAN!
renv is an R dependency manager. Use renv to make your projects more: Isolated, Portable, & Reproducible
Learn more at
#rstats
#DataScience
#reproducibility
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dplyr 1.0.4
featuring two new functions if_all() and if_any(), and improved performance improvements of across().
#rstudio
#rstats
#tidyverse
#DataScience
#dplyr
1.0.4 is on cran
🦋new functions if_any() and if_all()
🐝faster across()
More details in the blog post:
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Did you know that the RStudio IDE has a visual markdown editor?
📈 Embed content with shortcuts or just drag-and-drop (h/t
@thomas_mock
)
👁️ Edit & see changes in real-time
✏️ Get support for technical writing
Here are some features that you should know:
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{dbplyr} 2.0.0 is available now!
{dbplyr} is the database backend for {dplyr}. It allows you to use remote database tables as if they are in-memory data frames by automatically converting {dplyr} code into SQL.
Learn about the improvements at
#tidyverse
blog.
#RStats
#DataScience
dbplyr 2.0.0 out now! Includes support for new dplyr 1.0.0 features, a bunch of SQL translation improvements, and an improved extension mechanism —
#rstats
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Ever run into a library error and wished you could go back in time to when things worked? The new 1.0.4 release of RStudio Package Manager supports this type of time traveling, and you don't even need a DeLorean!
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1/ RStudio Package Manager 1.1 is out now.
RSPM makes it easy for you & your org to distribute & control R packages. Whether packages come from CRAN, GitHub, private or internal repositories, RSPM eases workflows for reproducible research.
Learn More at
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The rstudio::conf 2020 agenda is now available in machine readable form:
```r
library(googlesheets4)
read_sheet(as_sheets_id("1BOuN7xu60VPFjlN6HU1QN2spQJcwwCiLoSMPQ9HZwmo"))
```
#rstudioconf
#rstudioconf2020
#rstats
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January 2020: "Top 40" New CRAN Packages
230 new packages made it to CRAN in January. Here are R Views “Top 40” selections in 10 categories: Data, Finance, Genomics, ML, Medicine, Science,
#rstats
, Time Series, Utilities, & Visualization.
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Centralize your package environment with RStudio Package Manager.
v1.2.0 is Available Now!
Adding support for
@Bioconductor
and PyPI,
Plus historic CRAN snapshots, and more.
#RStudio
#RStats
#Python
#PyData
#DataScience
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Today, more than ever, the success of your organization hinges on your data science team’s ability to quickly convert new data into impactful insights that actually get used to make decisions.
Learn how
#SeriousDataScience
can help.
@loubajuk
@cdhowe
1
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Watch Edzer Pebesma on "Tidy Spatial Data Analysis". I don't need to tell you that maps are one of the most exciting elements of data science these days. Let's learn some great tools for analytics with spatial data.
#tidyverse
#rstudioconf
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Tour through the
#tidyverse
, Part 1 of many
The tidyverse is an opinionated collection of R packages designed for data science. All packages share an underlying philosophy and common APIs.
#rstats
#DataScience
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RStudio today is a dream for SQL database users.
Learn some of the most popular options for "Working With Databases and SQL in RStudio" on RStudio Blog now.
#rstats
#sql
#rstudio
#datascience
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People don’t trust what they don’t understand. Is your data science credible enough?
Explore how data science leaders help their teams deliver consistent, credible results
#SeriousDataScience
@loubajuk
&
@cdhowe
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We are happy to announce that posit::conf(2023) has an updated location and date!
Posit will host our upcoming annual conference at the Hyatt Regency Chicago from Sunday, September 17 - Wednesday, September 20, 2023.
We will share more details in February!
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Check out the recording of
@thomas_mock
's webinar "A Gentle Introduction to Tidy Statistics in R"
🎦
Follow along in the webinar with RStudio Cloud:
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Join us live for Scaling Data Science with R at Janssen Pharmaceuticals,
Wednesday, Dec 4 at 11am EST
Learn more and register for the webinar at
#rstats
#DataScience
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Just something pretty made with R.
Colored Mandalas by
@aschinchon
Experiment to create colored mandalas using Voronoi tesselations & color them with palettes from colourLovers.
Made with `tidyverse`, `deldir`, `colourlovers`, `rlist`
Learn more at
#rstats
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"Humanitarian Data Science with R"
Join us for
@dickoah
's talk at rstudio::global(2021)
Learn more, register, & enroll at ,
#rstudioglobal
is a free, online, 24-hour event for all things
#rstats
&
#RStudio
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What's New in RStudio 1.2? Pt. 4
Get more done with background jobs, which let you run R scripts while you work.
Be sure to check out both local and remote Launcher jobs.
#rstats
#DataScience
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