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Achim Zeileis🎨 How to create elegant #dataviz with base #rstats and the #tinyplot pkg
📈 useR! 2025 presentation by Grant McDermott @gmcd presents
@kernpanik Usually, I also try to stick to base #rstats or lightweight packages (#tinyplot, #tinytable, #rdatatable, ...). Methinks, since most tutorial promote the tidyverse, some do not know base equivalent. However, base data frame operations may require more careful handling of row order, factor levels, and preserving the data frame structure. dplyr maintains a consistent behavior across grouped operations.
YouTube
🚨 The #tinyplot pkg for #rstats #dataviz now also has support for barplots (in the R-universe version).
Grouping and faceting can be done using tinyplot's formula-based syntax.
Example: Frequencies of penguin species by island, stacked by sex. (Code in alt text).
@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?
Leonardo Ferreira FontenelleGráficos 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
ubuntu_touch# objetivo: Actualizar script en el tinyverso
# contexto: Gráfico millas en función del peso por cilindro
# entrada : mtcars
# plot : Con leyenda sin esfuerzo
# - leyenda continua ?
#tinyplot #rstats #Lecheria #ANZ #anzoátegui #CostaRica #tinyverso #baseR #Palette
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")
