{
  "title": "\"Now when I'm writing a book I just make a lot of stupid mistakes in public. But it's fine b/c ppl are nice and they help me fix them.\" -@hadleywickham #bookdown #rstats #tidyverse #jsm2018 https://t.co/uYlTR4igRs",
  "date": "2018-08-01"
}

# blogdown

> **Dorris A. Scott** (@Dorris_Scott; 6/3): Day 83 of #100DaysOfCode: Had a combined coding + baking session. Still having the same problems as yesterday and I think the template I chose isn't blogdown friendly. At least my bake(Honey loaf cake) was successful!  https://t.co/iLRXUTCcWP  [&#8618;](https://twitter.com/xieyihui/status/1024155998267887616)

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> **Antonio** (@Tomtzp; 0/0): I don't know why I can't install hugo from #blogdown, I already checked the connection and firewall. Anyone have an idea? https://t.co/78SYT7Q3d0  [&#8618;](https://twitter.com/xieyihui/status/1024343929964126208)

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> **Forwards** (@R_Forwards; 0/0): Handy tool to check accessibility of your websites (#blogdown or otherwise) in this thread! https://t.co/RgmLsQRafL  [&#8618;](https://twitter.com/xieyihui/status/1024318663774662656)

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# bookdown

> **Joyce Robbins** (@jtrnyc; 21/8): "Now when I'm writing a book I just make a lot of stupid mistakes in public. But it's fine b/c ppl are nice and they help me fix them." -@hadleywickham #bookdown #rstats #tidyverse #jsm2018 https://t.co/uYlTR4igRs  [&#8618;](https://twitter.com/xieyihui/status/1024330878426595328)

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> **Felipe Ortega** (@jfelipe; 7/4): Flexible Imputation of Missing Data (2nd ed.) disponible en línea #bookdown: https://t.co/MsbSa4F6BM Os recomiendo encarecidamente echarle un vistazo, es el del autor del paquete #mice (cc @URJCDataScience, @ConcejeroPedro, @gilbellosta, @herraiz)  [&#8618;](https://twitter.com/xieyihui/status/1024334115427024896)

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> **Felipe Ortega** (@jfelipe; 3/1): Flexible Imputation of Missing Data (2nd ed) by Stef van Buuren, creator of mice pkg, is available online as #bookdown: https://t.co/MsbSa4F6BM Apparently, hardcopy is on sale for attendees of #JSM2018 (cc @dataandme) #rstats  [&#8618;](https://twitter.com/xieyihui/status/1024333341879947267)

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> **Stas Kolenikov** (@StatStas; 2/0): #JSM2018 second example of reproducible work -- #bookdown by @xieyihui. @hadleywickham edits his "Advanced R" book in front of the audience.  [&#8618;](https://twitter.com/xieyihui/status/1024328104775307266)

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> **Stephanie Lane** (@stephanietlane; 1/2): .@hadleywickham presenting on bookdown, a great tool for #datascience education - bringing reproducibility to the book writing process. #rstats #JSM2018  [&#8618;](https://twitter.com/xieyihui/status/1024328572628914177)

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> **Yihui Xie** (@xieyihui; 1/0): @aashish_soneji @rstudio Sorry, but I don't understand your brief question. Are you asking if Jupyter notebooks are qualified for this contest (the answer will be "No"), or if R Markdown notebooks are the same as Jupyter (still "No"). This scope of contest is only on the bookdown package.  [&#8618;](https://twitter.com/xieyihui/status/1024334084695314432)

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# knitr

> **Ruben C. Arslan** (@rubenarslan; 1/0): @rstudio Ok, I can just make this dependent on some setting that pkgdown ignores, e.g. knit_by_pkgdown &lt;- !is.null(knitr::opts_chunk$get("fig.retina"))  [&#8618;](https://twitter.com/xieyihui/status/1024234486509318144)

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> **Logan J Everett** (@loganjeverett; 0/0): Finally dove into using #knitr today with the help of @kwbroman 's primer and now I'm overwhelmed by the regret of not doing this a long time ago.  [&#8618;](https://twitter.com/xieyihui/status/1024474125363040257)

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> **baptiste** (@baptiste_auguie; 0/0): this workflow, where knitr would become a pandoc filter, would have several advantages: i) inline commented code would not be run (knitr currently finds them with regex, so ignores html comments); ii) more modular workflow, allowing e.g. merging of edits made to the output text  [&#8618;](https://twitter.com/xieyihui/status/1024466046986514432)

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> **Neil Chalk** (@_neilch; 0/0): Oh, turns out I mistyped .. it's knitr not knittr!! Once the user error was corrected nicely formatted tables were my reward https://t.co/x5LEvlJQcU  [&#8618;](https://twitter.com/xieyihui/status/1024363651669614593)

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# xaringan

> **Jennifer Thompson** (@jent103; 2/0): @_MMathur Thank you so much - yours was great too, &amp; I’m sure I’ll be referring to it!
>
I did slides w/ xaringan package in R - 👌🏻 esp if you already know RMarkdown. Code for the slides is in Rmd file in linked Github repo, &amp; package README is a 💯 starting point: https://t.co/QiYq3idSBt  [&#8618;](https://twitter.com/xieyihui/status/1024169641206140928)

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> **Jennifer Thompson** (@jent103; 1/0): @_MMathur The *R-created graphics, sorry. I drew all the exposure scenarios in Keynote and exported them. Easy to include separate image files with xaringan.  [&#8618;](https://twitter.com/xieyihui/status/1024171797573328897)

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# yihui.name

> **ThinkR** (@thinkR_fr; 3/2): #Rstats - Help needed: Add more tests in @xieyihui's R packages
https://t.co/AoHLDlm21X https://t.co/nboSxZoXRi  [&#8618;](https://twitter.com/xieyihui/status/1024234489302708225)

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