Did you know that you can make Microsoft Word Reports from R? You can. And here's a short tutorial to help. Article: https://t.co/tUG4mVWPcB #datascience #rstats https://t.co/LzF8LAMYtI

2023/02/26

#rstats

Matt Dancho (Business Science) (@mdancho84; 972⁄223): Did you know that you can make Microsoft Word Reports from R? > You can. And here’s a short tutorial to help. > Article: https://t.co/tUG4mVWPcB > #datascience #rstats https://t.co/LzF8LAMYtI ↪

Rosana Ferrero🕊☮️🏳 (@RosanaFerrero; 358⁄71): ¿Se puede crear gráficos espectaculares que incluyan los resultados de las pruebas estadísticas con rigor? Spoiler: 📦ggstatsplot lo vuelve simple y listo para publicar #RStats #DataScience #dataviz #Stats > https://t.co/EgUDtvvcgF https://t.co/236e4dP9XN https://t.co/hntRdPY1Ts https://t.co/OiHj2dZiQO ↪

Rosana Ferrero🕊☮️🏳 (@RosanaFerrero; 355⁄101): 📚 Ciencia de datos para estudiantes con poca o ninguna experiencia en #programming y #stats. Adquisición y limpieza de datos, el análisis exploratorio y visualización de datos, inferencia, modelado y comunicación eficaz 🔗 https://t.co/MjJYkNGML8 #book #RStats #AI #DataScience https://t.co/MUJsDH4DUi ↪

John Paul Helveston (🐘@jhelvy@fediscience.org) (@JohnHelveston; 333⁄31): Looking at a collaborator’s #rstats code on GitHub: > setwd(“C:/Users/…“) https://t.co/zhFoOOohTX ↪

Matt Dancho (Business Science) (@mdancho84; 317⁄52): Curious about how to do #timeseries forecasting in R & Automate it in Python? > Then you’ll love this… 🧵 > #rstats #python #datascience https://t.co/xkSLYeCYSr ↪

Milos Popovic (@milos_agathon; 273⁄60): I mapped 3-year average measures of particulate matter (PM) 2.5 using EEA’s Annual AQ statistics and boy the Balkans and East Europe surely look bad 😢 > #environment #pollution #RStats #DataScience #dataviz #maps #geospatial https://t.co/cM92PdakI3 ↪

MÁXIMA FORMACIÓN Data Science_R (@maximaDataSci_R; 183⁄51): ¿Qué tienen en común la prueba t, el ANOVA y la regresión lineal? Si comprendes el modelo lineal en cada una de sus formas, hay menos que aprender https://t.co/wh7Sy8GTzd #DataScience #RStats #Statistics #stats #Analytics #inference #modelling #cienciadedatos #data https://t.co/pANO7FIKpM ↪

blogdown

Ben Ackerman, PhD (@backerman150; 4⁄2): @TheCalipariLab For any fellow #rstats nerds, I made mine using blogdown! https://t.co/nChjLrTVSE ↪

Claus Wilke (@ClausWilke; 3⁄0): @meghansharris Looks great. Did you enjoy Quarto? I haven’t tried it yet. Have my old blogdown page that I’m scared of updating because the hugo I used is so old. At some point I’ll need to do something about it. ↪

Hae Kyung Im 任慧耕 임혜경 (@hakyim; 1⁄0): @BenLangmead I’m partially migrating from blogdown-hugo-netlify to quarto-netlify ↪

bookdown

5’UTR (@5_utr; 10⁄0): Having a pint 🍺 and thinking about the excellent point @f2harrell makes that p-values may be inaccurate depending on how non-quadratic the log likelihood function is, another reason p-values are problematic https://t.co/KILX5H5YUc ↪

liz (@inerati; 8⁄0): @PapaJaves Lots of tricks like this. Like reddit or stack overflow / exchange etc are the default ones but there are specific ones too. Like appending “bookdown” to any search about R makes it way better as that’s the package that people write R markdown books / pages in mostly. ↪

Peter Rabinovitch (@prabinov42; 5⁄0): @DavidPoe223 https://t.co/mfoSOJbWL6 Very clear, good examples & code, free to access. ↪

johannes timaeus @timaeus@nrw.social (@TimaeusJohannes; 4⁄2): Here a recommendation for hands on literature for doing #MetaAnalysis in #R. Since #agroecology is an applied science with tons of recent empirical studies it should be useful for this discipline. https://t.co/gTr7dmcyUF ↪

Rosana Ferrero🕊☮️🏳 (@RosanaFerrero; 1⁄0): @precariobecario Hola Virgilio, gracias a ti por escribir el libro! Por cierto, la versión de la imagen no está en formato bookdown, verdad? Feliz sábado, un saludo ↪

Zoe (@zoedashmoment; 1⁄0): 7.6 Put content in tabs | R Markdown Cookbook https://t.co/O74eO6hYFI #rmarkdown #bookdown ↪

Solomon Kurz (@SolomonKurz; 1⁄0): @Omid_Ghasemi21 @ElliLeadbeater1 https://t.co/Y3yLtyf0CA ↪

Milton Tan (@mtanichthys; 1⁄0): @DSRovinsky I’m not sure what you mean, but the plotting region is determined by the plotting device and margins. Changing the image size doesn’t change the margins, so you won’t get an exactly proportional change if you, say double the image dimensions. https://t.co/ImSnnpAequ ↪

Héctor Vaquera (@VaqueraH_md; 1⁄0): @MW_BMT_Pharm I got into it because I wanted to learn meta-analysis and found this book amazing. But no matter what kind of stats you want to use it for, the first chapters have some great explanations about programming and R concepts in general > https://t.co/ZAYhgmUaER ↪

knitr

#RStats Question A Day (@data_question; 6⁄1): If you want to use tidylog in your rmarkdown reports, and want to output the messages in the report, make sure you pass message=TRUE in your knitr options or customize the output stream using tidylog.options https://t.co/5S5XThx6ZB ↪

Mickaël CANOUIL (@MickaelCanouil@fosstodon.org) (@MickaelCanouil; 3⁄0): @dtoher #QuartoPub #RMarkdown knitr trick > Cross-posting the answer: https://t.co/mvQGLa8m7k https://t.co/sTcRoYYBEI ↪

Christophe Dervieux (@chrisderv; 1⁄0): @dtoher We have an example on how to create tabsets with table using iteration on variable > https://t.co/I6MFzpwJ2i > You can adapt to your need. Main point is using knitr with child content using knit_child() function. This is necessary for correctly including output. ↪

xaringan

Charlie (@charliejhadley; 14⁄0): I talk the big talk about reproducibility but getting ready for today’s talk I realise that 8 year’s worth of slide decks are split across: > - RMarkdown slides w/ {xaringan} - A few .pptx - Google slides across 3 google accounts - Two different highly customised Quarto formats 🫠 ↪