#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 (@coles_nicholas_; 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 ↪

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 ↪