{
  "title": "This is a fantastic blog post and ⁦@xieyihui⁩ provides a lot of wisdom, including the rarely mentioned fact that data analysis != software engineering. I have many other thoughts, but as Yihui recommends, I’m taking them off twitter 🚀 https://t.co/xwabMeTGf5",
  "date": "2018-09-12"
}

# blogdown

> **Andrew Heiss, PhD** (@andrewheiss; 2/1): About 20% of the times I compile my blogdown #rstats site, the compiled main index.Rmd is empty and doesn't use any of the Hugo templates (but all other pages are fine). I fix it by recompiling the site until it works, but it's the strangest thing ever and idk why it happens https://t.co/Sfcnwkevvm  [&#8618;](https://twitter.com/xieyihui/status/1039597970822332416)

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> **Li Wang** (@Schweik1987; 2/1): blogdown is awesome!  Get my website (https://t.co/2gfPLQaKCD) up and running in half an hour! Thanks @xieyihui.  [&#8618;](https://twitter.com/xieyihui/status/1039581610352566272)

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> **Hernando Cortina** (@cortinah; 0/0): @thomasp85 this is great. Thank you. A few days ago I was wondering why the size of an animation in a blogdown post looked different. This shld address that since blogdown is based on rmarkdown.  [&#8618;](https://twitter.com/xieyihui/status/1039497078253264897)

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# bookdown

> **Romain Lesur** (@RLesur; 7/2): In the train, going to the @uRos2018 #rstats conference in The Hague (NL). Friday, my talk will be on styling #rmarkdown and #bookdown pdf without LaTeX (thx CSS Paged Media). Meanwhile I am working on a personal side project. https://t.co/vQtVHpseQr  [&#8618;](https://twitter.com/xieyihui/status/1039466307379490816)

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> **C_J_Tinant 🌊🎲🥋** (@charlesjtinant; 1/0): @david_a_knowles @invertenerd I think pandoc — mathml is the the better solution.  
And, I think your right on knitr calling pandoc...
>
I’m learning more about this, but still have a lot of blind spots &amp; Yihui Xie’s recent book is a pretty nice guide: https://t.co/A3HQAramOf  [&#8618;](https://twitter.com/xieyihui/status/1039512706225565699)

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> **KouYuanYuan** (@KouYuanYuan; 0/0): bookdown-ucas: an R bookdown template for theses of the University of the Chinese Academy of Sciences https://t.co/EWQZRTyHsW https://t.co/oSLLSRrXps  [&#8618;](https://twitter.com/xieyihui/status/1039573557154467840)

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> **C_J_Tinant 🌊🎲🥋** (@charlesjtinant; 0/0): @david_a_knowles @invertenerd this is a better link: https://t.co/A3HQAramOf  [&#8618;](https://twitter.com/xieyihui/status/1039514393187213313)

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# knitr

> **Thomas Lin Pedersen** (@thomasp85; 23/5): You can know control arguments to `animate()` in knitr chunks, e.g. {r, gganimate=list(nframes=200)}, as well as setting defaults with options(), e.g. `options(gganimate.nframes=200)`  [&#8618;](https://twitter.com/xieyihui/status/1039489335308038144)

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> **Thomas Lin Pedersen** (@thomasp85; 14/1): gganimate will also use the native `dev`, `interval`, `fig.width`, and `fig.height` chunk options when called in a knitr chunk  [&#8618;](https://twitter.com/xieyihui/status/1039489884015276033)

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> **C_J_Tinant 🌊🎲🥋** (@charlesjtinant; 1/0): @david_a_knowles @invertenerd I think pandoc — mathml is the the better solution.  
And, I think your right on knitr calling pandoc...
>
I’m learning more about this, but still have a lot of blind spots &amp; Yihui Xie’s recent book is a pretty nice guide: https://t.co/A3HQAramOf  [&#8618;](https://twitter.com/xieyihui/status/1039512706225565699)

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> **Laura Pérez Vera** (@lpvera22; 0/0): @jamie_lendrum @rstatstweet Thank you so much.. I finally did it.. I made it with knitr ::kable..but I'm going to google hyphens.. Thanks 💚👍😊  [&#8618;](https://twitter.com/xieyihui/status/1039627105057873920)

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> **BountyBot** (@BountyBot; 0/0): R Markdown conditionals for knitting HTML vs PDF https://t.co/dkbhd3rzrT Amt:500 #R #RMarkdown #Knitr #Pandoc  [&#8618;](https://twitter.com/xieyihui/status/1039559204049231873)

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> **Evgeny Pogrebnyak** (@PogrebnyakE; 0/0): Notebook wars from the aothor of knitr https://t.co/nhHF6bY8f3  [&#8618;](https://twitter.com/xieyihui/status/1039523828517535746)

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# xaringan

> **Gina Reynolds** (@EvaMaeRey; 0/0): @grrrck @PStrafo @dataandme @xieyihui uses this style in Xaringan Rmd tutorial.  Some affirmation for + aes() style.   https://t.co/VkuNPygcYp  [&#8618;](https://twitter.com/xieyihui/status/1039625019750379520)

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# yihui.name

> **Roger D. Peng** (@rdpeng; 138/41): This is a fantastic blog post and ⁦@xieyihui⁩ provides a lot of wisdom, including the rarely mentioned fact that data analysis != software engineering. I have many other thoughts, but as Yihui recommends, I’m taking them off twitter 🚀 https://t.co/xwabMeTGf5  [&#8618;](https://twitter.com/xieyihui/status/1039540549978611712)

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> **Hilary Parker** (@hspter; 41/8): Wow this is AWESOME. Can't wait for the talk @xieyihui! https://t.co/d2ih4LfujW  [&#8618;](https://twitter.com/xieyihui/status/1039624314138423296)

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> **Nicholas Tierney** (@nj_tierney; 31/10): Check out @xieyihui 's "The First Notebook War": https://t.co/LTDEzpBWbf
>
"If you do both software engineering and data analysis heavily in a project, consider using an IDE to develop an R package, instead of stuffing your poor notebooks with thousands of lines of code"  
#rstats  [&#8618;](https://twitter.com/xieyihui/status/1039390888298917888)

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> **Ben** (@Torvaney; 9/0): I think notebooks (RMarkdown) is one of the areas in which R is better than Python for data science. This blog by @xieyihui is a really nice reflection on the different pros/cons (and much more!) you get with notebooks and R https://t.co/jEfZ1pBO6A  [&#8618;](https://twitter.com/xieyihui/status/1039616367073419272)

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> **職業、イケメン。テラモナギ** (@teramonagi; 5/2): 良い視点
The First Notebook War https://t.co/sp7UE4mPMi  [&#8618;](https://twitter.com/xieyihui/status/1039651821415849985)

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> **トデス子'\** (@todesking; 3/0): https://t.co/KKnMwNRe3B  [&#8618;](https://twitter.com/xieyihui/status/1039382734529937408)

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> **Yohan J. Rodríguez** (@hasdid; 1/1): #DataScience | The First Notebook War https://t.co/wJxsrLvvxd  [&#8618;](https://twitter.com/xieyihui/status/1039623989965017088)

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> **smart-R** (@smartR101; 1/1): “I don’t like R Markdown” Use R notebooks https://t.co/Tp3tT0L9OD: You can check out any time you like, but you can ALWAYS leave!' It is R Markdown++ by #rstudio The First Notebook War https://t.co/xasicI7EAG by @xieyihui https://t.co/S8lyo68dKd  [&#8618;](https://twitter.com/xieyihui/status/1039606400945717249)

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> **Volatility Quant** (@VolatilityQ; 1/1): The two cultures: the R vs Python culture, or data analysis vs software engineering culture ⁦@xieyihui⁩ 
>
#DataAnalysis #SoftwareEngineering #Python #R https://t.co/dpNfwdQ1q1  [&#8618;](https://twitter.com/xieyihui/status/1039413106542301185)

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> **biteclub** (@anarinsk; 1/0): There seems to be a strong atmosphere of software engineering in the Python world: in the beginning was the custom class (with methods). For R users, in the beginning was the data.
>
파이썬과 R의 차이에 대해서 이보다 간명하게 묘사할 수는 없다. https://t.co/a8cJ2GFqR7  [&#8618;](https://twitter.com/xieyihui/status/1039669658809319424)

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> **Troy James Palanca** (@tjpalanca; 1/0): Here's a really good take on the notebooks debate from the R side of things. Rmd documents, while technically notebooks, are a lot closer to raw source code than full blown notebooks, which is why I like them a lot more. https://t.co/Wn4rD2jXor  [&#8618;](https://twitter.com/xieyihui/status/1039511198377508866)

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> **Jose Manuel Vera** (@verajosemanuel; 0/2): The first notebook war #rstats #Python Pure gold from Yihui https://t.co/5OfAnzvBwj  [&#8618;](https://twitter.com/xieyihui/status/1039422559073251328)

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> **Russ Hyde** (@haematobot; 0/1): https://t.co/KVw7004Fnr wonderful stuff from @xieyihui ; to me `state` seems to be a pretty small problem in #rstats generally.  [&#8618;](https://twitter.com/xieyihui/status/1039502389198417920)

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> **Yuta Okamoto** (@okapies; 0/0): #jupytercon で「俺は Notebook がキライだ」という講演が挙行されたらしく、そのまとめ。 https://t.co/ua1J1sifXH  [&#8618;](https://twitter.com/xieyihui/status/1039686749927030784)

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> **Gordon Shotwell** (@gshotwell; 0/0): A great read about many things, also an excellent example of productive disagreement. https://t.co/GboJIiTJXe  [&#8618;](https://twitter.com/xieyihui/status/1039677713425084417)

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> **yishkw** (@hereticreader; 0/0): The First Notebook War - Yihui Xie - 谢益辉 https://t.co/wDpES3K97s  [&#8618;](https://twitter.com/xieyihui/status/1039639750855077888)

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> **Alex Williamson** (@alexilliamson; 0/0): Very thoughtful take on #notebookwars https://t.co/5IMEgyppvT  [&#8618;](https://twitter.com/xieyihui/status/1039610510675783680)

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> **Rory Quinn** (@RoryJosephQuinn; 0/0): Thoughts on notebooks, IDE and R Markdown from @xieyihui #R #Python #Jupyter https://t.co/C9hG7oaWkX  [&#8618;](https://twitter.com/xieyihui/status/1039601603110739970)

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> **Adam Lauretig** (@lauretig; 0/0): This https://t.co/bOSBM9oyEn by @xieyihui, is a nice discussion of issues raised w/r/t "notebooks" for programming, and ways that Rmarkdown differs from Jupyter.  [&#8618;](https://twitter.com/xieyihui/status/1039591582264184833)

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> **Fabian Schreiber** (@Fabschreiber; 0/0): Insightful post on #Jupyter notebooks, IDEs, and R: https://t.co/DVaqSmGjMK  [&#8618;](https://twitter.com/xieyihui/status/1039589633078779907)

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> **Conor Dewey** (@conordewey3; 0/0): So Joel Grus doesn't like Jupyter notebooks. Here are some of my thoughts. https://t.co/G4DQb0DukQ  [&#8618;](https://twitter.com/xieyihui/status/1039589472374009857)

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> **David W. Body** (@david_body; 0/0): The First Notebook War. Excellent analysis and reaction by @xieyihui to the recent notebook controversy. And some interesting observations about R, Python, and Excel. https://t.co/xrN83xvqQx  [&#8618;](https://twitter.com/xieyihui/status/1039584039089389568)

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> **Evgeny Pogrebnyak** (@PogrebnyakE; 0/0): Notebook wars from the aothor of knitr https://t.co/nhHF6bY8f3  [&#8618;](https://twitter.com/xieyihui/status/1039523828517535746)

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> **Sompob Saralamba** (@slphyx; 0/0): https://t.co/fuQUlSLqWW  [&#8618;](https://twitter.com/xieyihui/status/1039494154173132800)

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> **Intellectual-Yet-Idiot [臭老九]** (@huyunwei; 0/0): I know that @xieyihui can write long post. Give him time he could write shorter. Maybe in Chinese 文言文 👍🗒https://t.co/sgFhYcfj5g  [&#8618;](https://twitter.com/xieyihui/status/1039380722618916864)

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