Happy to share my new map of tree cover in Europe! #europe #forest #nature #RStats #DataScience #dataviz #maps #geospatial https://t.co/YXuMU2A1mG



Milos Popovic (@milos_agathon; 1204232): Happy to share my new map of tree cover in Europe! > #europe #forest #nature #RStats #DataScience #dataviz #maps #geospatial https://t.co/YXuMU2A1mG

Albert Rapp (@rappa753; 796132): You can step up your data visualization game with {ggiraph} & {patchwork}. > Two premier tools for creating interactive, connected plots with click events and tool-tips. (And they’re super easy to use too.) > Code: https://t.co/MwbHYjdVN1 #rstats #dataviz https://t.co/qup1n3mTro

Karina Bartolomé (@karbartolome; 27765): Regresiones logísticas, efectos marginales y más cosas en R, un ayudamemoria para mi misma que tal vez le sirva a alguien #RStats #RstatsES #EconTwitter > https://t.co/kuaajcUUQy

Matt Dancho (Business Science) (@mdancho84; 22755): The old 10+ person data science team is out. > The new 1-person business scientist is in. > This is how to prepare. 🧵 > #datascience #rstats #python https://t.co/KvGnIRqYUv

R Markdown (@rmarkdown; 21545): Data Visualization Packages for R to Consider in 2023 by @citedrive https://t.co/KhhE0iejmw #rstats #dataviz #ggplot2 #rstudio #posit https://t.co/YbxVes1CK6

SevillaR (@_SevillaR; 21152): ¡Una introducción al modelado bayesiano jerárquico con R, JAGS y STAN! Esta técnica te permite incluir incertidumbres y sesgos en tus datos, haciéndolos más realistas y preciso 🔗 https://t.co/kS64YYeWt3
#dataviz #RStats #Analytics #DataScience #ML #spatial #programming #stats https://t.co/PJciu3O5V3


Ming “Tommy” Tang (@tangming2005; 33): if you are using blogdown with hugo and frustrated that your site does not build with a different hugo version. take a read of this post https://t.co/s7eVXPTWBg #rstats


tipsder (@tipsder; 26084): [📕 Libro] R para Principiantes. Libro, en formato web y en castellano, para todos aquellos interesados en iniciar o complementar el aprendizaje de #R. ¡Muy recomentado! Gracias al autor por este aporte. https://t.co/NSlaCRQYWz #RStats #DataScience #data #dataviz #RStatsES https://t.co/U61ER5Rh4o

SethGitter (@SethGitter; 131): @EconoTodd https://t.co/KBTo4nciJX

Florencia Alguero (@floralguero; 51): @estebanscu https://t.co/Y9oC4cXRBU A mí me sirvió mucho, es básico y en español. Quizás te es útil.

Aaro Salosensaari (@aqsalose; 31): Fascinating what you can find by searching for statistics related keywords. This evening I found https://t.co/tfrRUnNiBZ “DSCI 335: Inferential Reasoning in Data Analysis” . Apparently still being written, but very readable up to Ch 8

Yannick Kälber (@YannickKae; 30): @SquishChaos @kareem_carr Here: https://t.co/W2qSsi2QeS > Well structured with many exercises to practice. > And you might find some good additional code here: https://t.co/8k4aC0DUP8 > For example, limit theorems can be perfectly understood by numerical simulations.

Mickaël CANOUIL (@MickaelCanouil@fosstodon.org) (@MickaelCanouil; 11): @shah_f1 @rstats_tweets 3. Reuse the chunk, e.g., using YAML style

#| ref.label: chunk-doing-stuff

And you can reuse as many times as you want the code inside the chunk without having to actually copy/paste chunk’s content.

See https://t.co/V4h6Y65izM

Matthew B Jané (@MatthewBJane; 10): @MarkAnnuncio Here’s a tutorial. If you scroll down to the subgroup analysis section, this is the sort of situation we are talking about I think > https://t.co/5VKueiasCE

s3thr1n (@s3thr1n; 10): The Crisis of the Roman Republic https://t.co/2fkHEkAXas #rmarkdown #bookdown 정리중…

Noric Couderc (@heynoric; 10): CRC Press is the best: https://t.co/i8WExpC0Xu

erre español (@ErreEspanol; 10): Este libro ofrece una visión general de los métodos disponibles en la actualidad para tratar los datos faltantes (#missing #data) https://t.co/b4OQei5FKL https://t.co/N49OlXbJvl


Craig Van Pay (@CKVanPay; 100): I’m remembering this one time an elderly woman told me it was neat to see a man into knitting. > I don’t actually knit, and took me a moment, but then I remembered I have a knitr hex on my laptop😆 https://t.co/FBtp0XTWJV

Mickaël CANOUIL (@MickaelCanouil@fosstodon.org) (@MickaelCanouil; 40): @grrrck @jgeller_phd @naseemdh @quarto_pub @xieyihui Quarto recommends and uses YAML style code cells/options. > There are three styles available in knitr: inline R style, multiline R style, yaml style. You should not mixed the three styles. > Note the comma at the end for the multiline R style. https://t.co/1Jvwe0a89o

Jason Doctor (@jasndoc; 10): @ryancbriggs Also I have never tried this but working within Knitr to convert from HTML to PDF after you generated HTML. > html_to_pdf(file_path = NULL, dir = NULL, scale = 1, render_exist = FALSE)

Mickaël CANOUIL (@MickaelCanouil@fosstodon.org) (@MickaelCanouil; 10): @naseemdh @grrrck @jgeller_phd @quarto_pub @xieyihui Note that knitr::convert_chunk_header() can do the heavy lifting of converting code chunk options to any of the three styles. 😉

CRAN Package Updates (@CRANberriesFeed; 0/1): CRAN updates: abn collapse knitr spatstat.random TSP #rstats


Exploratory Data Alex (@alexkyllo; 40): @GreenWalker92 @kareem_carr Another nice example is something like TinyTeX. You can install a LaTeX distribution and be building PDFs in 3 minutes and 3 lines of R code. I’m not aware of any Python package that does this–one certainly could, but the culture is to do it from your OS shell instead of Python.

Dr. Baba (@babayoshihikoCH; 31): RStudio #bookdown で日本語、ようやくできた。tinytex で色々インストールしまくり、rmdja::pdf_book_ja で成功。今までも単一Rmd、bibなしならできたが、bookdown が難しい。


Matheus Sales (@msales_xaringan; 10): @HeleniceAM1 #DamaresNaCadeia

Matheus Sales (@msales_xaringan; 10): @wdevuono #DamaresNaCadeia