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Melt the clock Tidy time series analysis
Time series can be frustrating to work with, particularly when processing raw data into model-ready data. This work presents two new packages that address a gap in existing methodology for...
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pagedown: Creating beautiful PDFs with R Markdown and CSS
The traditional way to beautiful PDFs is often through LaTeX or Word, but have you ever thought of printing a web page to PDF? Web technologies (HTML/CSS/JavaScript) are becoming more and more...
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Putting empathy in action Building a 'community of practice' for analytics in a global corporation
The theme of "empathy" will be recurring as he discusses how he worked to create a supportive learning environment focused on helping analysts "kick ass" regardless of their tool set.
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R at the ACLU: Joining tables to to reunite families
Last year, over 2500 immigrant children were separated from their family while in government custody. Information about their status is scattered across several government agencies, and throughout...
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R Consortium initiatives in medicine - Joe Rickert
R / Pharma and R / Medicine, two new R Consortium sponsored conferences that appeared in 2018, are both grass roots, community-level manifestations of fundamental trends driving the growth of R.
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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...