{
  "title": "One of my biggest mistakes when I began learning data science - I believed everything I heard. Don’t do this. 🧵 #datascience #rstats #python https://t.co/qLDxbJnt5H",
  "date": "2023-01-22"
}

# #rstats

> **Matt Dancho (Business Science)** (@mdancho84; 662/141): One of my biggest mistakes when I began learning data science - I believed everything I heard. 
> >
> Don’t do this. 🧵
> >
> #datascience #rstats #python https://t.co/qLDxbJnt5H  [&#8618;](https://twitter.com/mdancho84/status/1616827661547864064)

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> **Matt Dancho (Business Science)** (@mdancho84; 377/70): Stop using distribution plots...
> >
> Do this instead.
> >
> Learn more: https://t.co/IX0ZFDnqpV
> >
> #rstats https://t.co/t9vN9FtlMF  [&#8618;](https://twitter.com/mdancho84/status/1616791981446889472)

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> **Albert Rapp** (@rappa753; 329/47): A lot of people create reports with tables in Word and PowerPoint.
> >
> {flextable} let's you do all the number crunching in #rstats and then export it to Word and PowerPoint.
> >
> Work in R.
> Communicate in MS Office.
> That way, everyone can use your work. https://t.co/2Yj9jCm3sc  [&#8618;](https://twitter.com/rappa753/status/1616828014398177280)

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# blogdown

> **Nan Xiao 肖楠** (@nanxstats; 4/2): Just shared a simple #rstats solution for identifying broken links in #bookdown, #blogdown, and #Quarto projects using {urlchecker}. Say goodbye to manual URL checking headaches. https://t.co/s7VurB3huD  [&#8618;](https://twitter.com/nanxstats/status/1615349094649679872)

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> **Jenny Sloane** (@jfsloane; 1/0): @TrumanLab https://t.co/ygZgADb4jn - created using R Blogdown. Feel free to check out and share this #R4beginners website I’m currently working on with tutorials on how to build websites in R with both blogdown and distill https://t.co/HKVXmHFUnd  [&#8618;](https://twitter.com/jfsloane/status/1614602850474287106)

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> **Tom Jenkins** (@Tom__Jenkins; 1/0): @TrumanLab I’ve also transitioned out of academia, but my website is still semi-active. Created it using R Blogdown package and Hugo.
> >
> https://t.co/KxrbYxI7mw  [&#8618;](https://twitter.com/Tom__Jenkins/status/1614594929941938176)

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# bookdown

> **Rosana Ferrero🕊☮️🏳** (@RosanaFerrero; 251/66): 📚 ¡Haz más con menos! Libro GRATUITO
> 💥 La programación eficiente en #RStats es la clave para aumentar tu productividad y lograr más en menos tiempo
> 👉 ¡No te pierdas estos consejos, advertencias y trucos!
> 🔗 https://t.co/qLfeulpI8S 
> #book #DataScience #stats #programming #code https://t.co/2Ki8VRurgH  [&#8618;](https://twitter.com/RosanaFerrero/status/1616134663176585226)

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> **Ronald** (@ronaldher97; 104/29): Supervised Machine Learning for Text Analysis in R
> >
> Text Analytics with R: Classification
> >
> This tutorial introduces text analyses in R using a variety of R packages and tidy tools.
> >
> https://t.co/mB6LKTBIDd
> >
> #Rstats #tidyverse #DataAnalytics  [&#8618;](https://twitter.com/ronaldher97/status/1615370590323634177)

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> **Alexa Fredston** (@AFredston; 9/4): hey #rstats, I wrote the supplement to a paper in bookdown to knit to pdf. it auto-numbers the figures and titles, which is great, but... 
> >
> what's the easiest way to force it to label all figures and tables "Supplemental Figure/Table X" rather than the default "Figure/Table X"?  [&#8618;](https://twitter.com/AFredston/status/1615859071260971009)

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> **مَريم| تحليل 🧠** (@mrym_analyst; 9/2): 🚨نسخ مجانية لمجموعة كبيرة من كتب الاحصاء وعلم البيانات ولغة R .... متاحة لقراءتها أونلاين 
> >
> https://t.co/IcVpLyyBqW  [&#8618;](https://twitter.com/mrym_analyst/status/1616110737667112978)

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> **Cameron Patrick** (@camjpatrick; 9/0): @deanmarchiori Solomon Kurz has various bookdown/blogs where he translates popular texts or examples into brms. Some of them have more detail than others but overall I really recommend them as a resource.  [&#8618;](https://twitter.com/camjpatrick/status/1616208884808712192)

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> **Dominik Liebl** (@domliebl; 7/2): That's a nice collection #econtwitter:
> 10 Fundamental Theorems for Econometrics https://t.co/hBHcyD1RwC  [&#8618;](https://twitter.com/domliebl/status/1616194890517385217)

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> **Ronald** (@ronaldher97; 6/5): Mixed-methods research: Analysing qualitative data in R
> >
> This chapter looks at one possibility of conducting mixed-methods research in R. 
> >
> https://t.co/1UCJfou083
> >
> #Rstats #research #bookdown  [&#8618;](https://twitter.com/ronaldher97/status/1616400749872701445)

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> **Federico Riva** (@riva_ecology; 6/0): @deanmarchiori https://t.co/JxuN69P0ix Steve Midway's book has been a quick, useful intro for me.  [&#8618;](https://twitter.com/riva_ecology/status/1616312406304595969)

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> **@alexh@fediscience.org Holcombe** (@ceptional; 4/0): for free for two weeks. The version I published with bookdown (https://t.co/GX2lxOs4Gd) will be available for free at least until I die, or become too ashamed of the book. #attention #perception
> #openaccess @cognition@a.gup.pe (2/2) https://t.co/qqg6y22vPA  [&#8618;](https://twitter.com/ceptional/status/1616544223800565760)

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> **Guido Corradi** (@GuidoBCor; 4/0): @magelssen_chr Maybe you will find interesting this Book https://t.co/tDeKHb2X6H  [&#8618;](https://twitter.com/GuidoBCor/status/1615389388761960448)

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> **Rata Science** (@RataScience; 3/2): Computational Social Science: Theory &amp; Application de @p_c_bauer 
> https://t.co/ct92QCVXML  [&#8618;](https://twitter.com/RataScience/status/1615359533039091717)

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> **Dr. Baba** (@babayoshihikoCH; 3/1): RStudio #bookdown で日本語、ようやくできた。tinytex で色々インストールしまくり、rmdja::pdf_book_ja で成功。今までも単一Rmd、bibなしならできたが、bookdown が難しい。  [&#8618;](https://twitter.com/babayoshihikoCH/status/1616602092340379650)

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> **Patrick English** (@PME_Politics; 2/1): @dan_tomlinson_ Can highly recommend this as a great starting point: https://t.co/PG9ynz2lKU and then also the lectures and github resources from @chrishanretty for some great examples, code, and walk throughs.  [&#8618;](https://twitter.com/PME_Politics/status/1616384395207741442)

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> **Brenton Wiernik 🏳️‍🌈** (@bmwiernik; 2/0): @IscanogluZulal @michelnivard Quarto is the successor to RMarkdown that incorporates streamlined versions of features from various extensions (eg, bookdown), so you should start with Quarto nowadays  [&#8618;](https://twitter.com/bmwiernik/status/1615800981521895428)

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> **CRAN Package Updates** (@CRANberriesFeed; 1/2): CRAN updates: bookdown DT #rstats  [&#8618;](https://twitter.com/CRANberriesFeed/status/1615469562186670086)

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> **Nono Gueye** (@GueyeNono; 1/0): @MarketPowerYT If this is true, then a lot of people in the R community will go to heaven. No need to go through your University library.
> >
> https://t.co/pLWsKzE5GF  [&#8618;](https://twitter.com/GueyeNono/status/1615935626896973825)

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> **Michael Koontz, PhD 🦔** (@_mikoontz; 1/0): @AFredston You can use the {captionr} package to do this: https://t.co/ee54I4nOZj or https://t.co/urYPeKsyek for a bookdown-specific example  [&#8618;](https://twitter.com/_mikoontz/status/1615913387103342592)

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> **Bryce Mecum** (@brycem; 1/0): @AFredston I'm hoping I'm wrong and that there's an easier way but I think you might be into Lua filters territory. See https://t.co/oi6gSwXOjn and this SO answer: https://t.co/gzPSeu6cgs.  [&#8618;](https://twitter.com/brycem/status/1615885108103479296)

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> **Prof. Rohhit Vishal Kumaar** (@RohitVishalKum2; 1/0): Need to revisit https://t.co/tAW32fYfCn  [&#8618;](https://twitter.com/RohitVishalKum2/status/1615371597040484353)

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# knitr

> **Kareem Carr | Data Scientist** (@kareem_carr; 45/2): @DialecticBio Have you tried knitr and especially quatro? I don’t think they are that different from Jupyterlab if you customize your Rstudio interface. I know what you mean about Rstudio though. Default setup is cumbersome without a big monitor.  [&#8618;](https://twitter.com/kareem_carr/status/1616998473944940545)

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> **R Markdown** (@rmarkdown; 18/9): Learn to use R in LaTeX to create dynamic documents with Overleaf and Knitr. by @citedrive https://t.co/TKP071qnPE #rstats #quartopub #rmarkdown  [&#8618;](https://twitter.com/rmarkdown/status/1615088852372258841)

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> **Mikael André Albrecht** (@Albrecht_Mikael; 2/0): @PieroZannini Something like this:
> >
> 1) ggplot2
> 2) dplyr
> 3) knitr
> 4) lme4
> 5) psych
> >
> Honorable mentions: ggbeeswarm, cowplot, and RColorBrewer.  [&#8618;](https://twitter.com/Albrecht_Mikael/status/1615378534981111810)

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> **garrick aden-buie** (@grrrck; 1/0): @jgeller_phd @naseemdh @quarto_pub What versions of quarto, {knitr} and {evaluate} are you using? I just tried with the latest of each (1.2.313, 1.41, 0.19) and all three of these versions worked for me:
> >
> - \`\`\`{r message=FALSE}
> - #| message = FALSE
> - #| message: false  [&#8618;](https://twitter.com/grrrck/status/1616981936920055808)

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> **しなしろ** (@shena4746; 1/0): Rからシェルにコマンドを送れることを思い出したので、READMEのコードチャンクをRmd経由で実行させるべく、knitr環境のdockerを書いた  [&#8618;](https://twitter.com/shena4746/status/1615922789093081092)

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# xaringan

> **Aditya Arie Wijaya** (@Adtarie; 1/0): @MikaelDewabrata Ggplot2 parah sih, yg bikin gw selalu mupeng liat R tu ya; ggplot2-tidiversenya (pipe), dan (dulu) rmarkdown, xaringan etc. Skrg udah ada quarto, agak mendingan, tapi ttp aja rich autocomplete cuma ada di Rstudio haha.  [&#8618;](https://twitter.com/Adtarie/status/1616723180865081346)

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