blogdown

Jesse Maegan (@kierisi; 11/1): take some time this morning to read @synflyn28’s first blog post about bringing together meteorology 🌪️⛈️🌞 and data science! bonus points for being written using #blogdown ❤️

https://t.co/8UWtqtfyGD ↪

bmzzcc (@bmzzcc; 2/1): Fiz um blog usando #rstats e o 📦blogdown. Meu primeiro post é um meta post sobre como fazer um blog usando R e blogdown 🤓#blogdown https://t.co/AHfIrezYzI ↪

Nick Zeng (@zenggyu; 2/0): Check out my updated #blogdown post, which demonstrates the bias-variance decomposition with a precise mathematical derivation and a simulated experiment in #rstats!

https://t.co/vUjDHmoTgU

#machinelearning #datascience https://t.co/n4yuYEKLJd ↪

Dusan Milosevic (@_dusanmilosevic; 0/0): https://t.co/bSAGBkDOMM ↪

bookdown

Maëlle Salmon 🐟 (@ma_salmon; 1/0): @noamross using this knowledge right now to prepare the structure of the rOpenSci packages bookdown! ↪

Eric Green (@ericpgreen; 0/0): @minebocek @StatGarrett Very slick. Do you know if it’s possible to embed learnr content in bookdown? ↪

Nathan Brouwer (@lobrowR; 0/0): @n_a_gilbert Bookdown package and book are good but takes some Work. There are academic templates. ↪

Vitaly Schetinin (@vit_sch; 0/0): Principles of Econometrics with R https://t.co/O3d56B4z7D ↪

Gabriel Fernando (@girsanov; 0/0): Excelente libro que te lleva por una introducción a R, seguido de regresión lineal #rstasts

Principles of Econometrics with R https://t.co/iem5McUrtr ↪

knitr

Will Landau (@wmlandau; 27/14): Version 5.1.0 of #rstats package drake is on CRAN.
Reproducible workflow management for R: https://t.co/37Q3pMY4kP
Commands with file targets are easier: file_out(), file_in(), knitr_in().
Improved job scheduling with make(parallelism = “future”) https://t.co/NmLyNlKjTS ↪

Shiloh Drake (@snd1101; 4/0): WOW it turns out I can do a knitr document, actually https://t.co/cUk56vX2I6 ↪

Brooke Watson (@brookLYNevery1; 3/0): knitr::image_uri() https://t.co/LNeww6GZnf ↪

N. Clement Weather (@znmeb; 1/0): @BaumerBen If it’s anywhere it’s in pandas - that seems to be the parallel to dplyr / tidyverse. But Jupyter notebook Markdown isn’t as powerful as knitr / R Markdown - not even close. ↪

César Herrera (@CexyNature; 0/0): Maybe because is midnight and 🤯, but this is not working https://t.co/W8hZH8bj4N #rstat #pandoc #knitr #latex #holdfigureposition 😴 ↪

xaringan

Alison Hill (@apreshill; 1/0): Watching @old_man_chester, I just realized the value in having a fun hover color for links in my #xaringan slides 🗒️ https://t.co/9AUHcHYa5l ↪