Live
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R Weekly 2019-40 fable, lintr 2.0.0, almanac
Release Date: 2019-10-07
This week’s release was curated by Ryo Nakagawara, with help from the RWeekly team members and contributors.
Highlight
Insights
R in the Real World
R in Organizations
Resources
New Packages
CRAN
GitHub or Bitbucket
Updated Packages
Videos and Podcasts
Tutorials
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Building Regularized Logistic Regressions from Scratch with Computational Graphs in R
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Split-apply-combine for Maximum Likelihood Estimation of a linear model
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Introducing {fable}: Forecasting models for tidy time series
R Project Updates
Updates from R Core:
Upcoming Events in 3 Months
Events in 3 Months:
More past events at R conferences & meetups.
Call for Participation
Quotes of the Week
For those who use #dplyr but don't master it yet, we've just created for you the ultimate guide to the 1 tibble case in a single cheat sheet. Feedback appreciated!
— R Data Berlin (@rdataberlin) September 27, 2019
Source = https://t.co/ucFHHFtCqV#tidyverse #rstats
Many tanks to Colin Vullioud for helping! pic.twitter.com/WISUiG4oST
Learned last week from the man himself (JJ Allaire) that you can execute Python scripts in RStudio and it just *knows* #rstats (the first reticulate command auto-ran) pic.twitter.com/WdX8Evzqwg
— Hilary Parker (@hspter) September 30, 2019
ever want to join a list of dataframes together (with #rstats) in one fell swoop? try purrr::reduce(list_of_dfs, full_join, by = "id_column_name")
— renata gerecke (@renatagerecke) October 1, 2019
honestly, when this worked, i nearly cried