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#ggplot

0 message0 participant0 message aujourd’hui

The truly important reason to try the #positron R/Python editor is that it can work in parallel with another R session open in #RStudio for a different project...

Also amazed by the #Pluto notebook for #Julia scientific work. One of its nice features is that the associated file is in text format and the code can be easily extracted. Not yet ready to switch from #ggplot to #VegaLite though.

positron.posit.co/start.html
plutojl.org/
#rstat

positron.posit.coGet Started – Positron

Played around with labeling a line plot. Ended up using:

📦{directlabels} for the two curved lines
📦{geomtextpath} for the horizontal line

Felt like an hour well spent. 😀

Removed actual labels to avoid starting a totally different conversation, but a keen eye might spot the topic!

From Weverthon Machado: “📊When teaching or giving a talk, do you like presenting plots step by step, revealing e.g. one group at a time? This is often useful for walking through complex results.

“I made a R package that makes it extremely easy to do this!

“ggreveal: Reveal a ggplot incrementally”

weverthon.com/ggreveal/

#rstats #dataviz #ggplot #ggplot2 @rstats #R

www.weverthon.comReveal a ggplot IncrementallyProvides functions that make it easy to reveal ggplot2 graphs incrementally. The functions take a plot produced with ggplot2 and return a list of plots showing data incrementally by panels, layers, groups, the values in an axis or any arbitrary aesthetic.

I'm sure the answer to this is write something myself. But it would be great if there was a #ggplot solution to:
- show individual points* for categories
- add summary crossbar ± error
- and do faceting
all from one data frame.

* ideally geom_sina from `ggforce` which I love.

The package `ggpubr` is very close, but not quite flexible enough.