{
  "title": "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",
  "date": "2018-03-27"
}

# 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  [&#8618;](https://twitter.com/xieyihui/status/978303098677551106)

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> **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  [&#8618;](https://twitter.com/xieyihui/status/978086731374383104)

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> **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  [&#8618;](https://twitter.com/xieyihui/status/978273549290033154)

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> **Dusan Milosevic** (@_dusanmilosevic; 0/0): https://t.co/bSAGBkDOMM  [&#8618;](https://twitter.com/xieyihui/status/978154604952252416)

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# bookdown

> **Maëlle Salmon 🐟** (@ma_salmon; 1/0): @noamross using this knowledge right now to prepare the structure of the rOpenSci packages bookdown!  [&#8618;](https://twitter.com/xieyihui/status/978239541273354240)

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> **Eric Green** (@ericpgreen; 0/0): @minebocek @StatGarrett Very slick. Do you know if it’s possible to embed learnr content in bookdown?  [&#8618;](https://twitter.com/xieyihui/status/978429797385801729)

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> **Nathan Brouwer** (@lobrowR; 0/0): @n_a_gilbert Bookdown package and book are good but takes some Work. There are academic templates.  [&#8618;](https://twitter.com/xieyihui/status/978404730757156864)

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> **Vitaly Schetinin** (@vit_sch; 0/0): Principles of Econometrics with R https://t.co/O3d56B4z7D  [&#8618;](https://twitter.com/xieyihui/status/978361410513235969)

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> **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  [&#8618;](https://twitter.com/xieyihui/status/978309698280665089)

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# 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  [&#8618;](https://twitter.com/xieyihui/status/978308282388549639)

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> **Shiloh Drake** (@snd1101; 4/0): WOW it turns out I can do a knitr document, actually https://t.co/cUk56vX2I6  [&#8618;](https://twitter.com/xieyihui/status/978427350202204161)

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> **Brooke Watson** (@brookLYNevery1; 3/0): knitr::image_uri() https://t.co/LNeww6GZnf  [&#8618;](https://twitter.com/xieyihui/status/978328168280010753)

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> **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.  [&#8618;](https://twitter.com/xieyihui/status/978084547953754112)

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> **César Herrera** (@CexyNature; 0/0): Maybe because is midnight and 🤯, but this is not working https://t.co/W8hZH8bj4N #rstat #pandoc #knitr #latex #holdfigureposition 😴  [&#8618;](https://twitter.com/xieyihui/status/978275481681211393)

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# 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  [&#8618;](https://twitter.com/xieyihui/status/978416203717734400)

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