#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 ↪

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 ↪

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 ↪

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 ↪

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 ↪

Tom Jenkins (@TomJenkins; 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 [↪](https://twitter.com/TomJenkins/status/1614594929941938176)

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 ↪

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 ↪

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”? ↪

مَريم| تحليل 🧠 (@mrym_analyst; ⁹⁄₂): 🚨نسخ مجانية لمجموعة كبيرة من كتب الاحصاء وعلم البيانات ولغة R …. متاحة لقراءتها أونلاين > https://t.co/IcVpLyyBqW ↪

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. ↪

Dominik Liebl (@domliebl; ⁷⁄₂): That’s a nice collection #econtwitter: 10 Fundamental Theorems for Econometrics https://t.co/hBHcyD1RwC ↪

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 ↪

Federico Riva (@riva_ecology; ⁶⁄₀): @deanmarchiori https://t.co/JxuN69P0ix Steve Midway’s book has been a quick, useful intro for me. ↪

@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 ↪

Guido Corradi (@GuidoBCor; ⁴⁄₀): @magelssen_chr Maybe you will find interesting this Book https://t.co/tDeKHb2X6H ↪

Rata Science (@RataScience; ³⁄₂): Computational Social Science: Theory & Application de @p_c_bauer https://t.co/ct92QCVXML ↪

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。 ↪

Patrick English (@PME_Politics; ²⁄₁): @dantomlinson 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. ↪

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 ↪

CRAN Package Updates (@CRANberriesFeed; ¹⁄₂): CRAN updates: bookdown DT #rstats ↪

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 ↪

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 ↪

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. ↪

Prof. Rohhit Vishal Kumaar (@RohitVishalKum2; ¹⁄₀): Need to revisit https://t.co/tAW32fYfCn ↪

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. ↪

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 ↪

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. ↪

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 ↪

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 ↪

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. ↪