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#tinyplot
The 
@lwpembleton I just came across your post. I took it as inspiration to achieve sth similar with base #Rstats and #tinyplot
There is one small issue that I could not solve instantly with the Cylinder as a factor. Therefore, this `Cylinders <- as.factor(mtcars$cyl)` hack. Maybe @gmcd or @zeileis has a quick suggestion?
Gráficos feitos com #RStats, usando #RDataTable para ler e tabular os dados, e #TinyPlot (@gmcd) para plotar
#rdatatable is a pleasure to work with. Sometimes mind bending (why does it not work? 
… ahh, lists 
)
but most of the time great.
I use it in combination with #tinyplot. I had situations where my code got faster and shorter by doing this.
Enjoy
# objetivo: Actualizar script en el tinyverso
# contexto: Gráfico millas en función del peso por cilindro
# entrada : mtcars
# plot : Con leyenda sin esfuerzo
# - leyenda continua ?
Christmal special for the R base plot folks:
take a look at the latest #tinyplot developments.
@gmcd et al. have a nice tool for you.
install.packages("tinyplot", repos = "https://grantmcdermott.r-universe.dev")
I just used #tinyplot again. What a pleasure. What a smooth tool.
#tinyverse starter pack
|> pipeOp {base}
#tinyplot https://doi.org/10.32614/CRAN.package.tinyplot
#rdatatable https://doi.org/10.32614/CRAN.package.data.table
#poorman https://doi.org/10.32614/CRAN.package.poorman
What did I forget?
Hi #rstats
Can anybody point me to good base R plot resources (templates, tutorials …) please?
Something like #tinyplot and Zeileis & Murrell, "Coloring in R's Blind Spot", The R Journal, 2023 https://doi.org/10.32614/RJ-2023-071
Starting with #RMarkdown is a great way to introduce students to the world of #rstats. It's not just about teaching programming skills, but also about explaining other technologies like #LaTeX, #YAML, #Rnw, #markdown & #Rscript! 
And I'm convinced that we should focus on building a small solid foundation (#smallR 
). Think of base R (aggregate, subset, …), #rdatatable and graphics (#tinyplot) instead of diving straight into popular packages like #tidyverse. Let's keep it simple! Who's with me?