#rstats
terence fosstodon (@researchremora; 1016⁄123): 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; 283⁄51): 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; 209⁄37): A revised population density map of China based on feedback. > #rayshader adventures, an #rstats tale https://t.co/aTM0iTflyd ↪
Milos Popovic (@milos_agathon; 154⁄67): 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 ↪
bookdown
tipsder (@tipsder; 160⁄56): [📕 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; 37⁄2): @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; 36⁄3): 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; 32⁄3): @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; 22⁄0): 4.YaRrr: https://t.co/cfswpCu8ZL > “YaRrr! The Pirate’s Guide to R”… ↪
Brenton Wiernik 🏳️🌈 (@bmwiernik; 12⁄2): @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; 11⁄0): @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; 5⁄3): 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; 4⁄0): @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; 2⁄0): @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; 2⁄0): @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; 2⁄0): @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; 2⁄0): @JkayFlake https://t.co/Ho5FCcrY4P [↪](https://twitter.com/Euclaise/status/1624111386358960128)
Kamal Chawla (@kamalc31; 2⁄0): @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; 1⁄2): 📺 #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; 1⁄1): @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; 1⁄0): Curso R base, excelente curso para comenzar a trabajar con R y R Studio https://t.co/SsQMSFbSdw #rmarkdown #bookdown ↪
FCAgrariasUNmed (@FCA_UNmed; 1⁄0): #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; 1⁄0): Y aquí un pequeño libro online de cómo hacer meta-análisis en R! https://t.co/kz73CTp2oK ↪
Shah Nawaz (@shah_f1; 1⁄0): @ivelasq3 Bookdown vs Quarto ↪
Alberto Torrejón Valenzuela (@albertorrejval; 1⁄0): https://t.co/WHTs73ksZA ↪
Christoph Molnar (@ChristophMolnar; 1⁄0): @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 ↪
knitr
Julio Trecenti (@jtrecenti; 5⁄0): 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; 3⁄0): [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; 1⁄0): @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 ↪
tinytex
#rstatsvideo 🤖 (@rstatsvideo; 1⁄1): 📺 New #rstatsvideo: Installing tinytex ▶ Amelia McNamara (@AmeliaMN) 🗣 🇬🇧 #rstats 🔗 https://t.co/x1AHZ8NrgY ↪
A. Jordan Nafa (@ajordannafa; 1⁄0): @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 ↪