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Video
R in production
With the increase in people using R for data science comes an associated increase in the number of people and organisations wanting to put models or other analytic code into "production".
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R Markdown: The bigger picture
Statistics has made science resemble math, so much so that we've begun to conflate p-values with mathematical proofs.
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R qtl2: Rewrite of a very old R package
For nearly 20 years, I've been developing, maintaining, and supporting an R package, R/qtl, for mapping quantitative trait loci (genetic loci that contribute to variation in...
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R4DS online learning community Improvements to self-taught data science & the critical need for diversity, equity, and inclusion
The first iteration of the R4DS Online Learning Community was created as an online space for learners and mentors to gather and work through the "R for Data Science" text in a collaborative and...
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Reactlog 2.0: Debugging the state of Shiny
The revamped reactlog provides an updated visual display to traverse through the reactive behavior within your shiny application. Using live shiny applications, we will use reactlog’s directed...
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RStudio Cloud for education
RStudio Cloud aims to take the friction out of doing data science with R, allowing students (and instructors) to skip over installation, setup, and IT challenges and go straight to the good stuff.
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RStudio Connect Past, present, and future
RStudio Connect is a publishing platform that helps to operationalize the data science work you're doing. We'll review the current state and unveil some exciting new features.
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RStudio Job Launcher Changing where we run R stuff
RStudio Job Launcher provides the ability to start processes within batch processing systems and container orchestration platforms.
