Hondunauta1d ago
#Día5 | Comparaciones – Experimental | #30DayChartChallenge. Experimenté agregando una sumatoria horizontal de observaciones en un boxplot sobre la capacidad endocraneana en especies del género Homo. Creada usando R con #ggplot2, #ggdist, #dplyr, #scales, #ggtext, #patchwork, #tibble y #tidyr.
Dr Mircea Zloteanu 🌺🌞🍃Dec 17

#statstab #453 Gradient plots {ggdist}

Thoughts: Like these as an alternative to half eye plots.

#bayesian #dataviz #plots #figures #rstats #r #tidybayes #ggdist

https://mjskay.github.io/ggdist/articles/slabinterval.html?q=gradientinterval

Dr Mircea Zloteanu 🌺🌞🍃Sep 18, 2024
I started playing around with all the #ggdist colour features (there are so many), and I think I'm losing the plot (pun intended!) 😵‍💫
Matthew KayMar 6, 2024

Merry Distmas! A new version of
#ggdist
(3.3.2) just hit CRAN
#rstats

The main impetus of the update is minor fixes to support
#ggplot2
3.5.0, but there are a few things worth mentioning... 1/5

Show threadLuke PembletonNov 9, 2023
🎥 @mjskay
also has a quick talk that summarises the wealth possibilities. #rstats #ggdist
https://www.youtube.com/watch?v=ChwczkfFsXM
Matthew Kay | Visualizing distributions and uncertainty using ggdist | RStudio (2022)

YouTube
Luke PembletonNov 9, 2023
If you are thinking of plotting distributions and/or confidence intervals, I highly recommend you check out the ggdist package by @mjskay
#RStats #ggdist
https://github.com/mjskay/ggdist
GitHub - mjskay/ggdist: Visualizations of distributions and uncertainty

Visualizations of distributions and uncertainty. Contribute to mjskay/ggdist development by creating an account on GitHub.

GitHub
Show threadMatthew KayMay 22, 2023

Here's an example of #ggblend with #ggdist: ggdist can create gradient lineribbons using color ramps, but can have problems when they overlap

ggblend can partition a geometry and blend those partitions: e.g. using "multiply" to blend overlapping lineribbons together

Matthew KayMay 14, 2023

#ggdist 3.3.0 just hit CRAN! Some highlights:

1. A big change is the new default density estimator, which detects bounded distributions; see linked post: https://fediscience.org/@mjskay/110359116199194043

This also means Mode() and hdi(), which use the density estimator, should be better too.

#rstats

Matthew Kay (@[email protected])

Attached: 4 images round 2 of "try to make #ggdist's default density estimator better" #rstats I think this is the one for now (better be too b/c gotta release another version soon!!!)

FediScience.org
Matthew KayMay 13, 2023

round 2 of "try to make #ggdist's default density estimator better" #rstats

I think this is the one for now (better be too b/c gotta release another version soon!!!)

Matthew KayMay 11, 2023

welp guess a new version of #ggdist drops soon

#rstats