R Weekly 2019-40 fable, lintr 2.0.0, almanac
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Hello and welcome to this new issue!
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
???? Go Live for More New Pkgs ????
CRAN
GitHub or Bitbucket
Updated Packages
Videos and Podcasts
Tutorials
Building Regularized Logistic Regressions from Scratch with Computational Graphs in R
Split-apply-combine for Maximum Likelihood Estimation of a linear model
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
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