A forest cover map of Canada. I rather like how this turned out. #rayshader adventures, an #rstats tale https://t.co/tx9km0C8tD



terence fosstodon (@researchremora; 1016123): A forest cover map of Canada. I rather like how this turned out. > #rayshader adventures, an #rstats tale https://t.co/tx9km0C8tD

Albert Rapp (@rappa753; 28351): Interactive plots let users focus on what matters to them. > That’s why they are a popular choice for data visualization. > You can make any ggplot interactive in just a few easy steps. #rstats https://t.co/rDvCawKoW5

terence fosstodon (@researchremora; 20937): A revised population density map of China based on feedback. > #rayshader adventures, an #rstats tale https://t.co/aTM0iTflyd

Milos Popovic (@milos_agathon; 15467): On the International Day of Women and Girls in Science I mapped the % of female researchers in Europe, according to UNESCO data. 👩‍🔬👩‍🏫👩‍🎓 > #WomenInScienceDay #WomenInScience #rstats #DataScience #geospatial #DataVisualization #maps https://t.co/nVEMWr0XbQ


tipsder (@tipsder; 16056): [📕 Libro] Curso R base. Libro/curso, en castellano y en formato web, ideal para iniciarnos en #R a partir de sus fundamentos -base del lenguaje - y algo del #tidyverse. ¡Excelente trabajo y agradecimiento al autor por su aporte!👏👏 https://t.co/XUVgeCoCxs #rstats #DataScience https://t.co/6MBfytOtFE

Chelsea Parlett-Pelleriti (@ChelseaParlett; 372): @JkayFlake Not sure about Frequentist MA (I’ve only read the Bayesian chapter) but they talk about how meta analyses are MLMs in this: https://t.co/D4NW5xEKzD 🥳

JP Gannon (@jp_gannon; 363): Another update to my R data science for hydro (hydroinformatics) bookdown: the intro to working with/mapping shapefiles now uses CAMELS data, so it’s a bit more hydro-related and has some improved examples: https://t.co/mUBSo1rhuk

Nicholas Coles, PhD (@colesnicholas; 323): @JkayFlake This is a nice practical tutorial: https://t.co/ft5rPaxrDw > I also highly recommend this paper by @jepusto when it comes time to think about publication bias with dependent effect sizes: https://t.co/03Q0BuSenl

Vrinda Nair (@VnVrinda; 220): 4.YaRrr: https://t.co/cfswpCu8ZL > “YaRrr! The Pirate’s Guide to R”…

Brenton Wiernik 🏳️‍🌈 (@bmwiernik; 122): @KMKing_Psych @JkayFlake brms implements meta-analysis in a way that looks a lot like a MLM. Various tutorials on meta-analysis with brms are available. 3 good pages are https://t.co/maB5NXcD1a , https://t.co/XtaLyQZ1CW, and https://t.co/RrZOMgVLim

Solomon Kurz (@SolomonKurz; 110): @ChelseaParlett @JkayFlake I don’t have a full book, or even a full chapter, but here’s a section on a Bayesian multilevel meta-analysis for Cohen’s d’s https://t.co/rQGJp9UiF9), and here’s a section for the same framework applied to odds ratios (https://t.co/AJJUSZRlEQ).

Mary (@mary_indata; 53): Les comparto este libro sobre Análisis de datos, bastante sencillo de leer e incluye algunos ejemplos. 👇🏻 “The Art of Data Science” https://t.co/ciInYJdpaQ > #data #DataAnalytics #dataanalyst #datascience #DataScientists https://t.co/MvL08vyYQF

Peter Higgins (@ibddoctor; 40): @UmaMahadevanIBD @r_medicine @RStudioJoe @posit_pbc @daniela_witten @StephanKadauke @oridamas @apreshill @Riinu @cararthompson A tool for reproducible research. More to be discovered at: https://t.co/H6KiwJlEKF

ShirEtgar (@ShirHappens; 20): @JkayFlake Yes! I found this book super handy: https://t.co/3XaUMUJhjG And on a practical level, the metafor package in R for an ML solution, funnel plot,forest plot, etc. Brms for the Bayesian solution.

Kaydee Barker (@nerd_inthe_wild; 20): @TiaNDonaldson Check out @Codecademy (https://t.co/WwVhLC9DtY), & also for R specifically: @Scedacity’s Intro2R (https://t.co/rTmvFf2Oir), RBootcamp (https://t.co/oZ7uKHdya6), & @ColoradoStateU Stat’s R intro Bookdown https://t.co/aJW3hoTxi9!

Oceans of Need ///RT ≠ endorsement /// (@oceans_need; 20): @LucianaOceans 2009 Report https://t.co/KDpiZHi6iJ 2014 Report https://t.co/aOY5cZv7Zh 2020 presentation https://t.co/azeqPcghK5 2022 Report https://t.co/0ewiws8l9E Intergovernmental Committee on Intellectual Property and Genetic Resources, Traditional Knowledge and Folklore https://t.co/4jFpdVqqvD

Euclaise (@Euclaise; 20): @JkayFlake https://t.co/Ho5FCcrY4P [↪](https://twitter.com/Euclaise/status/1624111386358960128)

Kamal Chawla (@kamalc31; 20): @JkayFlake Please refer https://t.co/z6s0IqJHdC > There is a chapter on Multilevel modelling meta analysis, I am sure it will be helpful. @c_barbieri_d

#rstatsvideo 🤖 (@rstatsvideo; 12): 📺 #rstatsvideo: Introduction to Bookdown (R Package) | RStudio Webinar - 2016 ▶ Posit PBC (@posit_pbc) 🗣 🇬🇧 #rstats #rstudio #rstudiowebinar #rstudiobookdown #bookdown 🔗 https://t.co/Aj6Bax6KYX

Yashvin Seetahul (@YashvinSeetahul; 11): @JkayFlake To understand most of the assumptions about MA this was great https://t.co/Q2vJWLOEsb. > Also The Handbook of Research Synthesis and Meta-Analysis by Harris Cooper. > And this: https://t.co/Qr2GCBDQEQ

Toño Pérez (@tonoperezt; 10): Curso R base, excelente curso para comenzar a trabajar con R y R Studio https://t.co/SsQMSFbSdw #rmarkdown #bookdown

FCAgrariasUNmed (@FCA_UNmed; 10): #Conozca Extendemos la invitación para consultar el libro electrónico titulado: “Índice de condición integral” del profesor Guillermo Correa Londoño, adscrito al Departamento de Ciencias Agronómicas Encuéntrelo en: https://t.co/YB6KW8ETrH > #SomosUNAL #OrgulloUNAL https://t.co/80jpWES11S

Julio Vega et al. 📊 (@Julio_Vega; 10): Y aquí un pequeño libro online de cómo hacer meta-análisis en R! https://t.co/kz73CTp2oK

Shah Nawaz (@shah_f1; 10): @ivelasq3 Bookdown vs Quarto

Alberto Torrejón Valenzuela (@albertorrejval; 10): https://t.co/WHTs73ksZA

Christoph Molnar (@ChristophMolnar; 10): @konradvoelkel For me, there’s a good amount of path dependency. I’m used to writing with R bookdown, so changing to Quarto was a breeze and an improvement.

Shah Nawaz (@shah_f1; 0/1): I don’t know what I am doing wrong but one of my thesis chapter is of 56MB size. > Bookdown with child documents takes lot of space even with dev=‘png’ in code chunk options for multiple figures. > #rstats


Julio Trecenti (@jtrecenti; 50): Talks [rstudio ::conf(2022)] Destaques do pacote knitr dos últimos dois anos . ‘Nesta palestra, destacarei alguns novos recursos do pacote knitr introduzidos nos últimos dois anos, incluindo: 1) a nova maneira de escrever opções de chunk como “#|” comentários no corpo do bloco; https://t.co/LLW3OMRZ7z

The {gt} Package (@gt_package; 30): [BUGS FIXED] PR#1153 (https://t.co/gpBleodL5F) happened. Listen, every time there’s a bad bug I want to apologize profusely. And fix that bug. This particular one involved writing RTF files from R Markdown / knitr / Quarto using gtsave(). If you ran into that, super sorry. 😞

Eyayaw Beze (@eyayaw; 10): @antoine_fabri Can knitr::combine_words do it?

Julio Trecenti (@jtrecenti; 0/1): e 4) algumas novas opções de chunk, como “file” (para incluir arquivos externos como o corpo do chunk) e “lang”. Esses novos recursos podem ajudar os usuários do knitr a fazer melhor uso do pacote.’ Por Yihui Xie . Acesse em: https://t.co/4GEOcfDNF4 #rstats #datascience


#rstatsvideo 🤖 (@rstatsvideo; 11): 📺 New #rstatsvideo: Installing tinytex ▶ Amelia McNamara (@AmeliaMN) 🗣 🇬🇧 #rstats 🔗 https://t.co/x1AHZ8NrgY

A. Jordan Nafa (@ajordannafa; 10): @kadirayhan I use MikTeX and it’s straightforward to install the fontawesome package but I’ve never used tinytex so not sure. Under assets/templates you can open the manuscript latex template and comment out lines 230-231 and remove \gitrepo{$github$} at the end of line 326 to fix it