#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 (@kat_hoffman_; 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 = FALSEshould now completely suppress messages in R code chunks (no more using suppressPackageStartupMessages!)Source: https://t.co/viv5uc8CRa ↪