{
  "title": "Happy to share my new map of tree cover in Europe! #europe #forest #nature #RStats #DataScience #dataviz #maps #geospatial https://t.co/YXuMU2A1mG",
  "date": "2023-01-29"
}

# #rstats

> **Milos Popovic** (@milos_agathon; 1204/232): Happy to share my new map of tree cover in Europe!
> >
> #europe #forest #nature #RStats #DataScience #dataviz #maps #geospatial https://t.co/YXuMU2A1mG  [&#8618;](https://twitter.com/milos_agathon/status/1619440254112649216)

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> **Albert Rapp** (@rappa753; 796/132): You can step up your data visualization game with {ggiraph} &amp; {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  [&#8618;](https://twitter.com/rappa753/status/1619364792669700097)

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> **Karina Bartolomé** (@karbartolome; 277/65): 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  [&#8618;](https://twitter.com/karbartolome/status/1619350325646983168)

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> **Matt Dancho (Business Science)** (@mdancho84; 227/55): 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  [&#8618;](https://twitter.com/mdancho84/status/1619323212718043136)

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> **R Markdown** (@rmarkdown; 215/45): Data Visualization Packages for R to Consider in 2023 by @citedrive https://t.co/KhhE0iejmw #rstats #dataviz #ggplot2 #rstudio #posit https://t.co/YbxVes1CK6  [&#8618;](https://twitter.com/rmarkdown/status/1619361983589138432)

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> **SevillaR** (@_SevillaR; 211/52): ¡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  [&#8618;](https://twitter.com/_SevillaR/status/1619241119878975488)

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# blogdown

> **Ming "Tommy" Tang** (@tangming2005; 3/3): 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  [&#8618;](https://twitter.com/tangming2005/status/1618694947649261568)

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# bookdown

> **tipsder** (@tipsder; 260/84): [📕 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  [&#8618;](https://twitter.com/tipsder/status/1619058568199811073)

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> **SethGitter** (@SethGitter; 13/1): @EconoTodd https://t.co/KBTo4nciJX  [&#8618;](https://twitter.com/SethGitter/status/1617891279802888193)

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> **Florencia Alguero** (@floralguero; 5/1): @estebanscu https://t.co/Y9oC4cXRBU
> A mí me sirvió mucho, es básico y en español. Quizás te es útil.  [&#8618;](https://twitter.com/floralguero/status/1617909976948965379)

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> **Aaro Salosensaari** (@aqsalose; 3/1): 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  [&#8618;](https://twitter.com/aqsalose/status/1618371428612714496)

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> **Yannick Kälber** (@YannickKae; 3/0): @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.  [&#8618;](https://twitter.com/YannickKae/status/1617803921829040133)

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> **Mickaël CANOUIL (@MickaelCanouil@fosstodon.org)** (@MickaelCanouil; 1/1): @shah_f1 @rstats_tweets 3. Reuse the chunk, e.g., using YAML style
> \`\`\`{r}
> #| 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  [&#8618;](https://twitter.com/MickaelCanouil/status/1618175720580321283)

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> **Matthew B Jané** (@MatthewBJane; 1/0): @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  [&#8618;](https://twitter.com/MatthewBJane/status/1619478673039695872)

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> **s3thr1n** (@s3thr1n; 1/0): The Crisis of the Roman Republic https://t.co/2fkHEkAXas #rmarkdown #bookdown 정리중...  [&#8618;](https://twitter.com/s3thr1n/status/1619419950493634560)

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> **Noric Couderc** (@heynoric; 1/0): CRC Press is the best: https://t.co/i8WExpC0Xu  [&#8618;](https://twitter.com/heynoric/status/1618677141541113859)

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> **erre español** (@ErreEspanol; 1/0): 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  [&#8618;](https://twitter.com/ErreEspanol/status/1617849638832463872)

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# knitr

> **Craig Van Pay** (@CKVanPay; 10/0): 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  [&#8618;](https://twitter.com/CKVanPay/status/1618983661382299648)

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> **Mickaël CANOUIL (@MickaelCanouil@fosstodon.org)** (@MickaelCanouil; 4/0): @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  [&#8618;](https://twitter.com/MickaelCanouil/status/1617650543484358657)

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> **Jason Doctor** (@jasndoc; 1/0): @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)  [&#8618;](https://twitter.com/jasndoc/status/1618658247598288896)

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> **Mickaël CANOUIL (@MickaelCanouil@fosstodon.org)** (@MickaelCanouil; 1/0): @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. 😉  [&#8618;](https://twitter.com/MickaelCanouil/status/1617752008374747137)

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> **CRAN Package Updates** (@CRANberriesFeed; 0/1): CRAN updates: abn collapse knitr spatstat.random TSP #rstats  [&#8618;](https://twitter.com/CRANberriesFeed/status/1618202618064420864)

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# tinytex

> **Exploratory Data Alex** (@alexkyllo; 4/0): @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.  [&#8618;](https://twitter.com/alexkyllo/status/1617209459092389889)

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> **Dr. Baba** (@babayoshihikoCH; 3/1): 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。  [&#8618;](https://twitter.com/babayoshihikoCH/status/1616602092340379650)

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# xaringan

> **Matheus Sales** (@msales_xaringan; 1/0): @HeleniceAM1 #DamaresNaCadeia  [&#8618;](https://twitter.com/msales_xaringan/status/1617271152484966400)

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> **Matheus Sales** (@msales_xaringan; 1/0): @wdevuono #DamaresNaCadeia  [&#8618;](https://twitter.com/msales_xaringan/status/1617270889703260162)

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