#rstats

Leon Eyrich Jessen (@jessenleon; ⁶⁹³⁄₇₂): For my course “R for Bio Data Science” at @DTU_HealthTech, I collect #dataviz how-not-tos and this one is going in the archive! 💻📊📈📉 #dataScience in #Rstats https://t.co/IfDOSTJHEn ↪

Kat Hoffman (@kathoffman; ⁶⁹²⁄₁₂₀): new #rstats blog post! a walkthrough on making forest plots and adding effect size annotations using #ggplot2 > 🔗 https://t.co/KBT56MCHIH #dataviz #AcademicTwitter https://t.co/NMaTSJkFjo ↪

Elena Llaudet (@ellaudet; ⁵¹⁰⁄₆₂): Want to learn R? > DSS is a new textbook for complete beginners. Using non-technical language and assuming no prior knowledge of statistics or coding, DSS provides a step-by-step guide to analyzing real-world data from published social scientific studies. #RStats #AcademicTwitter https://t.co/PxTzzEUbwZ ↪

Neil Currie (@neilgcurrie; ⁵⁰⁶⁄₈₀): If you want to write robust code, unit testing is a must. A thread on how to write unit tests in R. > #rstats #coding #datascience ↪

Saroj parajuli (@Parajulisaroj16; ³⁹⁵⁄₁₀₉): Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Download a pdf: https://t.co/K1a5W56GSK #DataScience #RStats #finance #DataAnalytics #Coding #dataviz #programmer https://t.co/LvFB9Xi5dv ↪

flotsam (@researchremora; ³²¹⁄₄₀): Okay, here goes nothing—a population density map of England. It is after all #rayshader triple Thursday. I have an urge to label everything but who knows, I might already have made mistakes. > #rayshader adventures, an #rstats tale https://t.co/7ZGBa9qbLW ↪

Matt Dancho (Business Science) (@mdancho84; ²⁹⁵⁄₃₂): Can you get a 6-figure job with R in 2023? > Yes. > Here’s why. 🧵 > #rstats #datascience https://t.co/KpVwNMjL1K ↪

Liam Revell (@phytools_liam; ²⁹³⁄₄₁): Take a look at this beautiful #Rstats #phytools figure showing dinosaur climate niche evolution that I just discovered in @CurrentBiology! > Check out the full article by @emmadnn et al. here 👉 https://t.co/5FB1ycGvqD. https://t.co/UZjYtfNKu7 ↪

Dr. Amanda Kay Montoya (@AmandaKMontoya; ²⁸⁵⁄₆₂): Updated preprint now available! Ever wonder about the differences between statistical and causal #MediationAnalysis? This chapter walks through each and how you can combine practices from both in psychological research! #causalinference #rstats #psychology https://t.co/MIM00xgdJD ↪

Milos Popovic (@milos_agathon; ²⁷²⁄₆₆): My new map shows CO2 emissions per capita in Europe in 2021 > #CO2 #greenhouse #environment #RStats #DataScience #dataviz #maps https://t.co/UgR0gts6Ni ↪

Dan | @filmicaesthetic@fosstodon.org (@FilmicAesthetic; ²⁶¹⁄₄₂): 2022 was a huge year for my #datascience journey. > A year ago, I was okay with #rstats, had no experience with #ggplot2, #github or #powerbi, and had never shared my work publicly. > This thread documents what I’ve learned and created this year 👇 > https://t.co/cdUtL2F5Iv ↪

flotsam (@researchremora; ²³⁰⁄₃₈): Power’s out so raymachine gets a much-needed break. Fortunately (or not), I’ve a store of population density maps so here’s one of Italy. > #rayshader adventures, an #rstats tale https://t.co/j6DWnYN7tj ↪

Albert Rapp (@rappa753; ²¹²⁄₃₃): ‘Tis the season to be sharing R treats: > The curly-curly operator is a great way to use a data set’s column names in your own functions. #rstats https://t.co/zpYEH1TDxa ↪

Matt Dancho (Business Science) (@mdancho84; ²¹⁰⁄₄₇): There are more than 10,685,000 people learning to work with data. > Yet most data science jobs now have over 1000+ applicants. > And only 5 actually make it to an interview. > Use these 4 skills to stand out (free to steal & use to advance your career). > #datascience #rstats https://t.co/jDBGbYHwXN ↪

flotsam (@researchremora; ²⁰⁶⁄₃₁): This morning’s population density map is Sweden. > #rayshader adventures, an #rstats tale https://t.co/oWT3gydVuz ↪

Isabella Velásquez (@ivelasq3; ¹⁸⁹⁄₂₄): 🎉 New post: Setting up macOS as an #RStats data science rig in 2023 > Let’s fall together into a pit of success™ (when configuring macOS)! 🍎 With tools you love, like #Homebrew #Git #OhMyZsh #QuartoPub 💻 Guest appearance: #ChatGPT! 🤖 > Blog post: https://t.co/CWugqrEDvu https://t.co/AEkqxY4pza ↪

Stats and R (@statsandr; ¹⁸³⁄₄₅): 📝 New post: “What is survival analysis?” See why, when and how to use the main concepts of this rather unknown branch of statistics (with examples by hand and in R) #rstats #rstatstweet #DataScience https://t.co/mQB6odil1J ↪

Dr. Dominic Royé (@dr_xeo; ¹⁷⁰⁄₃₄): How likely is white Christmas in Europe? 🎄☃️❄️ I estimated the climatic chance of #snow cover on Christmas Eve in the World based on ERA5-Land with snow depth greater than 1 cm. #dataviz #rstats https://t.co/GGMt59AAB1 ↪

bookdown

Guillermo de Anda-Jáuregui (@gdeandajauregui; ⁵¹⁄₁₇): @jacasiegel I like this book for beginners, takes you from zero to hero in good time https://t.co/UCk3XTImTc Also, pirates rule. ↪

fenixaries está infectada 🧟‍♀️ (@imfromeldorado; ⁴³⁄₂₀): 🔍 Revelação de capa: > #bookDOWN > Obs: mockup ilustrativo! A quantidade de páginas da imagem não condiz com o tamanho real do livro. https://t.co/t7GZ3gc2rD ↪

Lorenzo Lorenzo-Luaces, PhD (@lluaces; ³⁸⁄₈): Potential new years resolution 👀 https://t.co/LGV9onmhvJ @SolomonKurz ↪

fenixaries está infectada 🧟‍♀️ (@imfromeldorado; ³³⁄₂₁): 🧟Thread ficbook BREAKDOWN: > 🎸 Formulários, informações, interações, feedbacks… > #bookDOWN https://t.co/YFH2tKc1oZ ↪

fenixaries está infectada 🧟‍♀️ (@imfromeldorado; ¹⁷⁄₆): 📋 Formulário de Interesse (aberto até 30/12/22). > Shipp: SeXing/ChanKai. Gêneros: ficção científica, terror, drama. > 🧟 Apocalipse Zumbi 🧟 > #bookDOWN https://t.co/DahQMzPNL5 ↪

Thea Knowles (@theaknowles; ¹³⁄₀): @echodroff @TimoRoettger @carignan_c @matt_with_ears @ctdicanio @StefanoCoretta @jvcasill I’ll +1 to the phonetics on speed tutorial @echodroff linked. > @ctdicanio, @brocaburgher & I led a short series of scripting tutorials in spring 2021 with slides, practice materials, and videos which might be of use and are archived here: https://t.co/TiJOaJRmjS ↪

Golub Capital Social Impact Lab (@GSBsiLab; ¹²⁄₇): Want to try ML but not sure where to start? From computing ATE to learning optimal policies, we’ve got a methods primer with all the R-code you need! https://t.co/UrcJe4JZEU #MachineLearning ↪

fenixaries está infectada 🧟‍♀️ (@imfromeldorado; ¹⁰⁄₇): ⚠️ ATENÇÃO! ⚠️ > Esta autora desatenta esqueceu de checar as tags desocupadas antes (tinha colocado #bookDOWN pq a sonoridade combina com BREAKDOWN), mas vi que já tem alguns tweets no search, então estou mudando para #BREAKDOWNficbook > 🧟 https://t.co/na8mSzaiYu ↪

Cengiz Erisen (@CengizErisen; ⁵⁄₁): R’la yeni tanışıyorsanız, şu kitabı gözden geçirin https://t.co/Eru9E6gj0Y ↪

♟♟ (@Donald38Daniel; ⁴⁄₁): I get questions about options trading all the time > You need to understand how derivatives work > Options trading is complicated and takes years of experience and observation before one becomes proficient > https://t.co/GI7N9Ru2Ym ↪

Solomon Kurz (@SolomonKurz; ³⁄₀): @AbitanteGeorge @OlinoTom Cheers! > But, unless you’re statistically precocious, I’m not so sure this book is the best one to use to dive into Bayes for the first time. Consider this one instead: https://t.co/U6SjLKPxiM ↪

fenixaries está infectada 🧟‍♀️ (@imfromeldorado; ³⁄₀): O Arockalypse já fez as suas primeiras vítimas… > #bookDOWN https://t.co/OHYZUKFCLu ↪

Dr Fi Crawford 🏴󠁧󠁢󠁷󠁬󠁳󠁿 (@welsh_fi; ¹⁄₁): @jacasiegel I’m a big fan of this free online book: https://t.co/BrzuyBDwLK ↪

Meshack O. Morang’a (@MeshackMoranga; ¹⁄₀): Chapter 3 Example datasets | An Introduction to Machine Learning with R https://t.co/Kxf15HfCjt #rmarkdown #bookdown ↪

Liran Tal (@liran_tal; ¹⁄₀): Threading a few options: > (1) Bookdown looks very well put: https://t.co/Id9bBfEgtP although might need some extra setup work. Potentially the project’s example could be a good starting point (https://t.co/Dl2ZGp9EVm) ↪

Leitor Ansioso ESTÁ COMEMORANDO O NATAL 🎅🏾🎄 (@leitoransioso; ¹⁄₀): CoHo pfvr faça acontecer ❤️❤️😍👏🏾 > Vcs acham q lembra o Atlas? #book #BookLover #bookDOWN #Booking https://t.co/7G063rQ0dG ↪

Jie Zhang (@luckyjay666; ¹⁄₀): Good summary of online experiments > Causal Inference and Its Applications in Online Industry https://t.co/3Rk99DV4Nv #rmarkdown #bookdown ↪

Bijesh Mishra, Ph.D. (@BijuBjs; ¹⁄₀): Introduction to R for Data Science: A LISA 2020 Guidebook https://t.co/Lyow0cjxOf #rmarkdown #bookdown ↪

Ronald (@ronaldher97; 0/1): Que es es lubridate? Una librería muy intuitiva para manipular fechas, y hallar patrones valiosos en tus datos. En este libro hay una buena guía de como se usa: > https://t.co/3NAj1Rn7Y3 #rmarkdown #bookdown #DataScience #Tidyverse #DataAnalytics #Statistics #RStats ↪

knitr

❄️⛄️ Andrew Heiss (🐘 @andrew@fediscience.org) (@andrewheiss; ³⁹⁄₇): Regular reminder that @tjmahr’s trick of storing model results as tab-completable lists (by feeding data frames to split()) is ingenious and will forever change how you use inline chunks with #rstats markdown / #quartopub https://t.co/vTQIciKfPX ↪

Isabella Velásquez (@ivelasq3; ⁸⁄₀): @JoeDNoonan Check out convert_chunk_header() from knitr 1.40: > https://t.co/Ke6gjVcnVN ↪

Mickaël CANOUIL (@MickaelCanouil@fosstodon.org) (@MickaelCanouil; ²⁄₀): @JoeDNoonan @ivelasq3 To add on this: 1/n - inline/multiline/yaml-style are all working in Quarto as they do in RMarkdown, but Quarto main syntax is yaml-style - some knitr options became more general (knitr::opt_chunk) and will require manual edits ↪

Alina Kurjan (@alina_kurjan; ¹⁄₁): @RobearPierre https://t.co/MmZGjpypFe > You need to look for tutorials on Rmd (r markdown) files and how to use knitr with this. Normally R Studio offers to install all the packages you need for this when you open a new Rmd file. Plenty of stuff on YouTube as well as online :) ↪

Sysop79 (@Sysop79; ¹⁄₁): @masspeclytical @rstats_tweets To be honest with you, what I’m usually waiting for is knitr::render() on my rmarkdown files! I do a lot of Bayesian-based regression analysis so MCMC. ↪

tinytex

Alfonso Chang (@AlfonsoChangM; ¹⁄₁): With Quarto v1.2, my Quarto Beamer files don’t compile & show an error message for not finding “xelatex” engine. If you regularly use “MikTex” distribution, and don’t wanna use “Tinytex”, just you have to put this in your preamble: “latex-tinytex: false” #RStats #Quarto #MikTex ↪

yihui.name

Albert Kuo (@albert_kuo; ¹⁄₂): #RStats PSA: haven’t tested this out myself yet, but message = FALSE should now completely suppress messages in R code chunks (no more using suppressPackageStartupMessages!) > Source: https://t.co/viv5uc8CRa ↪