#rstats
Syeda Sheraj Ali (@Sheraj99; 595/209): Learn #SQL with these Online Courses https://t.co/cuHN1v9ZnT #DataScience #Cybersecurity #BigData #Analytics #AI #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #NodeJS #golang #NLP #IoT https://t.co/2R319GzshD ↪
Parvez (@parvezshahshaik; 574/262): Best of #Devops Roadmap #MachineLearning #DataScience #SQL #Cybersecurity #BigData #Analytics #AI #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #NodeJS #golang #NLP #GitHub #IoT #MLOps https://t.co/9Oaw7t7GbZ ↪
Ninaad Lasrado, Ph.D (@LasradoNinaad; 429/48): Data available upon reasonable request. Yeah okay. 🙄
@lpachter @theHumanBorch @sinabooeshaghi
Authors should not make these statements, if they don’t plan to share the data in the first place 😒
#RStats https://t.co/rdOEJ8WvDQ ↪
Giuliano Liguori (@ingliguori; 428/196): #Infographic: Skills for #DataScience
Via @ingliguori
#ArtificialIntelligence #AI #ML #MachineLearning #DataScientists #innovation #CodeNewbies #Tech #deeplearning #CyberSecurity #nocode #Python #Coding #javascript #rstats #100DaysOfCode #programming #SQL #MLOps https://t.co/NkZR3Y5qYO ↪
R Markdown (@rmarkdown; 423/99): Read for free “R Graphics Cookbook, 2nd edition” by @winston_chang - a hands-on guide with more than 150 recipes to help you quickly create high-quality diagrams.
https://t.co/oDtzC8z2Nq
#rstats #bookdown #rmarkdown #dataviz https://t.co/wWpJeILbDA ↪
Catherine Adenle (@CatherineAdenle; 387/182): Infographic: Machine Learning defined.
#ML #MachineLearning #BigData #Data #DataScience #DeepLearning #AI #DataScientists #Analytics #Rstats #Python #Tech #IIoT #NLP #java #Coding #womenintech #devcommunity #technology #100daysofcode https://t.co/BGD4CkRAoC ↪
Arthur Welle (@ArthurWelle; 364/72): Pipes in #RStats! Functions are verbs, aplied to objects. With pipes “|>” we arrange functions in the order that we would think of the actions. Readability for the win! (And I like to read the pipe as “and then…")🎂🥣🥮👩🍳🔪🍴 https://t.co/rUrcugfvSk ↪
Giuliano Liguori (@ingliguori; 363/200): #Infographic: Skills for #DataScience
Via @ingliguori
#ArtificialIntelligence #AI #ML #MachineLearning #DataScientists #innovation #CodeNewbies #Tech #deeplearning #CyberSecurity #nocode #Python #Coding #javascript #rstats #100DaysOfCode #programming #SQL #MLOps https://t.co/5nW2BjBeOT ↪
Matt Dancho (Business Science) (@mdancho84; 352/49): This used to be me when I was first learning linear regression. 😂
But here’s what’s changed for me.
#rstats https://t.co/WdNImyN02W ↪
Jenny Bryan (@JennyBryan; 296/45): The chapter on testing has been revised, as @hadleywickham and I work towards the 2nd ed of R Packages. It’s a big expansion and will probably split into multiple chapters, but if you’re a testthat nerd 🤓 have a look and see what you think! #rstats
https://t.co/bd2DZ2uLJD ↪
Syeda Sheraj Ali (@Sheraj99; 283/154): #Python Roadmap. #MachineLearning #DataScience #SQL #Cybersecurity #BigData #Analytics #AI #IIoT #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #NodeJS #golang #NLP #GitHub #IoT #MLOps #blockchain #DL https://t.co/95WWOaLfBu ↪
Sheikh Sojib #SeoExpert (@SojibSeoexpert; 281/149): Skills needs for specific data roles!
#MachineLearning #DataScience #SQL #cybersecuritytips #BigData #Analytics #Python #RStats #TensorFlow #JavaScript #ReactJS #AI #IIoT #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #NodeJS #NLP #IoT https://t.co/RMFgvxQTQH ↪
Tanjila #Smm (@Tanjilasmm; 190/97): Python Debugging Cheat Sheet
#MachineLearning #DataScience #SQL #Cybersecurity #BigData #Analytics #AI #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #NodeJS #golang #NLP #GitHub #IoT https://t.co/ujO83mkWcp ↪
Syeda Sheraj Ali (@Sheraj99; 184/96): Imbalanced #Data in Classification https://t.co/XJ3SbEWGjs #DataScience #SQL #Cybersecurity #BigData #Analytics #AI #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #NodeJS #golang #NLP https://t.co/rzvrG2GDzB ↪
Ritik Sapat (@SapatRitik; 176/104): Skills for #DataScience
Via @ingliguori
#ArtificialIntelligence #AI #ML #MachineLearning #DataScientists #innovation #CodeNewbies #Tech #deeplearning #CyberSecurity #nocode #Python #Coding #javascript #rstats #100DaysOfCode #programming #SQL #MLOps https://t.co/uD8lKZIydV ↪
Giuliano Liguori (@ingliguori; 159/85): #Infographic: #FullstackDevelopers Skills
Via @ingliguori
#ArtificialIntelligence #AI #ML #DataScience #DataScientists #innovation #CodeNewbies #Tech #deeplearning #CyberSecurity #nocode #Python #Coding #javascript #rstats #100DaysOfCode #programming #SQL #MLOps #MachineLearning https://t.co/KCuQvvwJ99 ↪
Giuliano Liguori (@ingliguori; 159/77): #Infographic: Skills for #MachineLearning
Via @ingliguori
#ArtificialIntelligence #AI #ML #DataScience #DataScientists #innovation #CodeNewbies #Tech #deeplearning #CyberSecurity #nocode #Python #Coding #javascript #rstats #100DaysOfCode #programming #SQL #MLOps https://t.co/beLaloaUDf ↪
Dr. Ganapathi Pulipaka 🇺🇸 (@gp_pulipaka; 132/79): 6 Books to Help You Learn Data #Science! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode
https://t.co/mK3bIM3ojX https://t.co/KUuqUaeeXO ↪
J. A. Rayim (@rayim_it; 120/91): The Simplest #MachineLearning Cheat-Sheet Ever! #BigData #Analytics #DataScience #AI #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://t.co/Y6C1Yv6hiQ ↪
blogdown
Nils Reimer (@reimthyme; 5/0): @MyerAnnalisa I like your website, it looks great! I’m currently redesigning my website in blogdown using the Hugo Apero theme (https://t.co/weaJPXdgYO). I like blogdown + Hugo for its ease of use, once you’ve got the hang of it. ↪
Jeremy Selva (@JauntyJJS; 4/2): After months of trial and error, I have finally created a website for myself using the #HugoApero theme by @apreshill. Thank you to @jvelezmagic, @rlbarter, @spcanelon and many others for your inspiring and motivational examples. #blogdown
https://t.co/izy537m8TH ↪
Harshvardhan (@harshbutjust; 4/0): @kmart_02 @PhDVoice @owlstown hands down. If you like #rstats, check out Blogdown too! ↪
Luke Miratrix (@LMiratrix; 3/0): @KLdivergence One I like which is R and blogdown Hugo stuff is @jepusto at https://t.co/gUFF7ptvPj ↪
Francisco Yirá 📊🇨🇱🇺🇦 (@francisco_yira; 1/1): I think the folder structure that {blogdown} uses is pretty reasonable but kind of wish there was a way to know to which post each of these belong without having to look at the file 😬 #rstats https://t.co/8JHOi9Q3RS ↪
Patrick Mineault (@patrickmineault; 1/0): @SoundaryaRak Very cool! I like your blogdown R blog too - is it blogdown? ↪
Ming “Tommy” Tang (@tangming2005; 1/0): @patrickmineault @wowchemy Blogdown* ↪
Katie Press 🤵♀️🏳️🌈 (@katie_press; 1/0): @KLdivergence I use blogdown with Hugo Apero theme, which is optimized for R and really beautiful IMO. ↪
Todd Jones 🦊 (@toddrjones; 1/0): @EmmaXianhua_Zai @MarketPowerYT https://t.co/jeftw3cKhd ↪
bookdown
CiteDrive (@citedrive; 414/112): Check this out 😍: “Introduction to Data Science –Data Analysis and Prediction Algorithms with R” by @rafalab is available as a free #bookdown.
https://t.co/aVYCIQY0oA
#rstats #DataScience #dataanalysis #Algorithms #rmarkdown https://t.co/Ad9Q4TJ23I ↪
Richard McElreath 🦔 (@rlmcelreath; 157/22): Calculating a causal effect often means post-stratification to some target population. Coefficients aren’t enough. Some ckear case studies with code from Juan Lopez-Martin, Justin H. Phillips, and Andrew Gelman (none of whom are on twitter it seems?) https://t.co/cYpeqHzNI0 ↪
Sato Shuntaro｜佐藤俊太朗 (@Shuntarooo3; 90/14): 欠測値の処理について、Rコードも豊富に載っている書籍がweb（bookdown）で見れました。
表紙なんか見たことあるなーと思ったら、物理的な書籍として売っている本でした。
https://t.co/CN9VlEsGXI https://t.co/XimSVmq29i ↪
Shun-ya KAWABATA（川端俊也） (@KWBT_ECON; 57/10): よさげなレクチャーノートを見つけた
Fundamental Theorems for Econometrics
https://t.co/yUzUCgeqsk ↪
Antonio M Quispe 🇵🇪 #ProtégetePerú = #vacúnate✌ (@drantonioquispe; 34/14): “Introducción a la Ciencia de Datos”
La ciencia de datos es una de las carreras mejores pagadas hoy en día.
Así q aquí les dejo un excelente recurso para que fortalezcan sus habilidades en #DataScience !
Gracias @rafalab x este fabuloso #bookdown!
https://t.co/1KvWlFfFcQ https://t.co/QvD8tlcuaI ↪
Solomon Kurz (@SolomonKurz; 20/3): The discourse in this thread suggests there’s a big content hole waiting to be filled. Do you love experimental research design and free-access #bookdown-type ebooks? Your ebook could become the next big standard. Early career researchers, I’m looking at you. Rise and shine! https://t.co/T1AoxUCe5y ↪
Geraldine Klarenberg, PhD (she/her) (@DinaKla; 13/3): @WeAreRLadies For true beginners doing self-study, @rdpeng’s bookdown books for base R (https://t.co/e8VWxzUEXw). Then @rstudio Cloud tutorials for tidyverse. Only then #R4DS for more in-depth understanding (sorry @hadleywickham). For more stats, @djnavarro’s book https://t.co/CwFAcXAQdX (1/2) ↪
Ming “Tommy” Tang (@tangming2005; 10/2): Feature Engineering and Selection: A Practical Approach for Predictive Models https://t.co/s2KzE17Ziq #rstats ↪
Antonio M Quispe 🇵🇪 #ProtégetePerú = #vacúnate✌ (@drantonioquispe; 8/3): “Introducción a la Ciencia de Datos: Bookdown en Español”
Y encima se dieron el trabajo de traducirlo al español!!!
Así q sin excusas, jejeje…
https://t.co/kWp1ZJBfyb https://t.co/WxXkd7F0oc ↪
Dan Quintana (@dsquintana; 7/0): @ManuelScheftner Something like a multilevel meta-analysis is a better approach, I think, as you don’t lose any info https://t.co/WJpisiN9xv ↪
Emi Tanaka (田中愛美) 💉💉💉 (@statsgen; 6/0): @SolomonKurz Experimental design is a huge field. What do you want the book to cover? John Lawson has a book (but not bookdown I believe). I’m writing one but WIP: https://t.co/pmZBrdrPMS ↪
Stephen Wild (@stephenjwild; 6/0): @SolomonKurz I went here once when I had a question. Can’t speak to its quality: https://t.co/kBn2rSPXcl ↪
Jason Chow (@JasonChow; 5/0): @jmapsych This has been a helpful text for me and my class too! https://t.co/nswOUx2Iv7 ↪
Finn (@finn_hoener; 4/0): Use R to write your next academic paper! bookdown by @xieyihui and the template by @LucyStats are the main influences for the workflow that I present in this medium post.
Write your whole paper in R — it is better https://t.co/F65F1AuxT2 ↪
Ledgerdomain (@fredfribe; 3/0): @mezabarbarm https://t.co/nJTVQXWp8Z https://t.co/ldOuDSIj8A ↪
Imy (@Imy3648; 3/0): @jmapsych @ELindstromPhD In case you need the hands-on
https://t.co/ehm4FyS7KB ↪
PrincessLibrarian (@librarian_lena; 3/0): Today, one of my team members showed us that a sociology professor we archive data for submitted an 8-part README he made in bookdown with all of his code perfectly commented, data dictionary, and data construction methods spelled out. It’s GLORIOUS. ↪
NickdeVrij (@NickdeVrij; 3/0): @patilindrajeets If you would recommend an order, what would it be?
For example for the markdown-related ones, would it be R Markdown or R Markdown Cookbook first? Or even dynamic documents with R and knitr? Next up, bookdown? And for the rest? ↪
Espacio Muestral (@espaciomuestral; 3/0): 📚🗺️ Libro en línea sobre 𝐌𝐚𝐩𝐚𝐬 en #RStudio
Aprende como representar tus datos geoespaciales con las paqueterías📦
• tmap
• ggplot2
• mapview
• mapdeck
• leaflethttps://t.co/uGIl0hTZeC ↪
tidyverse tweets (@tidyversetweets; 2/2): Bookdown raising error 83 after update - no line number shown (osX) #tidyverse #rstats https://t.co/NHboiSPQme ↪
#rstats 🤖 (@rstatsvideo; 2/1): 📺 New #rstatsvideo: Authoring Books and Publications using bookdown package by David Keyes, CEO, R for the Rest of Us
▶ Abuja R User Group (@AbujaRUG)
#rstats
🔗 https://t.co/JPaQEF2p41 ↪
Alexa Fredston (@AFredston; 1/2): next #rmarkdown #rstats question—how do I get #bookdown to print a caption for a modelsummary table? I have “caption=…” in the chunk header but it doesn’t do anything. ↪
Vincent Arel-Bundock (@VincentAB; 1/0): @AFredston Check out the Rmarkdown examples at this link. The one with cross-references uses bookdown and includes a title. https://t.co/SL3yYXc4va ↪
knitr
Indrajeet Patil (इंद्रजीत पाटील) (@patilindrajeets; 166/33): ICYMI, {knitr} 📦 now provides an alternate (and IMO more readable) way to specify code chunk options! 📑
https://t.co/Sn46mZUR3Y
Chunk options written in the chunk header can be pretty hard to read, esp. when there are too many, or some are too long.
#rstats #DataScience https://t.co/kR0SUTd7XC ↪
R for the Rest of Us (@rfortherest; 111/21): The combine_words() function from {knitr} is so nice for creating human-readable lists. #rstats https://t.co/ylBO1TcPz9 ↪
Aleksandra Lazić (@AleLazic; 6/2): Knitted an R table to a Word document for the first time! I’m on a roll! 😅 Looks a little hideous at the moment though but I’ll fix it.
It’s a simple frequency+percentage table using tab1() in {epiDisplay}. And then knitted using knitr::kable(table). #RStats ↪
Marc-Aurèle Rivière (@mariviere1; 4/0): @AFredston Easiest solution is to use purrr::map to generate the plots. A more flexible option is to loop over knitr::knit_child (with a child doc containing only one chunk for the plot) and print the result asis. Allows you to change the chunk options of each plot programmatically. ↪
Indrajeet Patil (इंद्रजीत पाटील) (@patilindrajeets; 1/0): @grrrck @thomas_mock Very cool!
I am looking forward to this issue (https://t.co/4wFDnSuHfw) being resolved so that I can automate this conversion in the existing files 🤖 ↪
Alysha M De Livera (@AlyshaDeLivera; 1/0): Since knitr 1.35.. https://t.co/RQ2BmScmJI ↪
はかせチャン (@hshimodaira; 1/0): @CloseDragon1 #KU数理工学概論 さっき講義で説明したのとちょっと状況ちがうね．黄色い帯で knitrとか新規packageインストールする？って出てるのをクリックしてインストールして．そのあとで青いknitってボタンを押す． ↪
tinytex
Lu R. (@LuuRiascos; 1/0): @ShinyBlackShoe @rstats4ds Thanks for the suggestion, tinytex does the trick for now. ↪
xaringan
Arthur Albuquerque (@arthur_alb1; 57/4): #rstats: I plan to give some lectures where I must present R code mixed with figures + images, etc. What is the best package/platform to create nice-looking slideshows? I am already well aware of {xaringan} (like @andrewheiss used here). Is there any other better alternative? https://t.co/25xhT3hoEu ↪
We are R-Ladies (@WeAreRLadies; 32/5): I LOVE {xaringan} for building my slide decks and I can’t wait to add some more pizzaz with {xaringanExtra} 🎉 SO MANY COOL FEATURES IN HERE! Find it now on Cran and check out @grrrck’s blogpost for all the fun details https://t.co/Bx1G4Tzkio ↪
Mine Çetinkaya-Rundel (@minebocek; 18/2): @thomas_mock I was very proud of myself when I managed to recreate this originally-designed-in-Keynote slide deck with xaringan: https://t.co/kJ4344jNhK. Particularly the bits where you X out an image or put a ❤️ on it using magick::image_annotate(). ↪
John Paul Helveston (@JohnHelveston; 17/3): @WeAreRLadies @grrrck If you like {xaringan} and {xaringanExtra}, check out {renderthis} to render your slides to html, png, pdf, gif, mp4, or pptx!
https://t.co/4wnxZI64MK ↪
Shilaan Alzahawi (@shilaan01; 8/0): @arthur_alb1 @andrewheiss Definitely Quarto. Switched from xaringan and never looking back (eg see https://t.co/HpZyM9SWtE). In terms of resources, the Quarto documentation is great and has all you need: https://t.co/H8MdTmIdjg ↪
Jared Lander (@jaredlander; 7/1): My #rstatsnyc talk has many, many htmlwidgets which bogged down xaringan, so I’m using quarto. Self contained widgets dramatically slows down the build time but is much faster at load time. #rstats ↪
Alisson (@fuzzys3t; 5/0): @arthur_alb1 @andrewheiss I recommend Quarto, I consider it much superior to xaringan, and the documentation is well written too ↪
Adolfo Álvarez 🌳 (@adolfoalvarez; 4/0): First experience with @rstudio ’s #Quarto for presentations: It’s truly amazing!. But still not sure if I’ll switch from xaringan + xaringanextra combo. #Rstats More info: https://t.co/5MmahcGdj2 ↪
Dr Ajay Koli (@ajay_kolii; 4/0): @biosbenk @apreshill (creator of some of the most important and informative slides to learn about data sci) @grrrck (to make #xaringan slides extraordinary with his R pkgs) ↪
Jose Luis Cañadas (@joscani; 3/1): Muchas slides hechas con Beamer en la #seio2022 . Las mías van con Xaringan. ↪
Beatriz Milz (@BeaMilz; 3/0): @arthur_alb1 @mariviere1 @andrewheiss I would choose Quarto. In xaringan, I used with xaringanExtra to have more features. But a lot of those features are already built in quarto!
I think the code looks cleaner also. Simpler to write. and you can use the visual markdown code from RStudio that helps you to write MD. ↪
filipwastberrrg (@filipwastberrrg; 2/0): @thomas_mock we’ve built an xaringan package for internal R slides. Mostly used for education purpose: https://t.co/4nxSVr7wYD ↪
Beatriz Milz (@BeaMilz; 2/0): @arthur_alb1 @mariviere1 @andrewheiss I’m just about to announce a blog post about how to create blogs with Quarto. I have not prepared anything about presentations, but this can be a good idea for a next post.
If you are used to xaringan, take a look at the code that I posted in the last slide. is cleaner. ↪
A. Jordan Nafa (@adamjnafa; 2/0): @arthur_alb1 @andrewheiss I prefer beamer over xaringan because my latex is better than my css ↪
Marc-Aurèle Rivière (@mariviere1; 2/0): @arthur_alb1 @andrewheiss Quarto and Xaringan are the best options imo. ↪
Deemah 🇺🇦 🇳🇴 🇸🇪 (@dmi3k; 1/0): @grrrck Looking forward to {quartoExtra} for decorating quarto slides. There should be quite a lot of overlap because it runs on the same revealjs, but I really miss all of the versatility you built for {xaringan}, such as Tachyons support ↪
Matt Craddock (@Matt_Craddock; 1/0): So many nice extra features for xaringan slides in this package! https://t.co/o3cE2DS6IG ↪
Jelle Geertsma (@rdatasculptor; 1/0): @arthur_alb1 @andrewheiss I prefer ioslides over xaringan. The main reason I can give you is that htmlwidgets like {echarts4r} look horrible in xaringan. It is as if you feel like you need to adjust your glasses, whilst simply switching to ioslides does the trick 👍 ↪
A. Jordan Nafa (@adamjnafa; 1/0): @arthur_alb1 @andrewheiss I used xaringan for a long time before abandoning it for beamer after I got frustrated with the hell it is to get sequential indentation correct on xaringan slides with markdown ↪
yihui.name
Spencer Schien (@MrPecners; 2/1): As I recently researched how to add Quarto templates in my #RStats packages (spoiler: it’s not currently possible), I found this by @xieyihui.
“At this point, I think the benefits for other communities to try Quarto are more significant than R users.”
https://t.co/CKf63gB8yS ↪
David H. Montgomery (@dhmontgomery; 1/0): “Why inventing a new tool instead of improving R Markdown?” As @xieyihui wrote, ‘Even though both support multiple computing languages, I feel as if R Markdown’s birth certificate had a letter “R” stamped on it, and Jupyter had a “Python” stamp.’ https://t.co/3Gz0WgGUSw ↪