#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. ↪