#Rstats problems: Did you ever think that the dots for dotted lines are a bit too far apart per default? TIL that it's super easy to change this.

In #ggplot2, simply try something like:

scale_linetype_manual(
values = c(a = "dotted", b = "11")
)

The '11' means: 1 point for a dot, 1 point for a gap. Find out more here: https://stackoverflow.com/questions/25788945/how-to-define-more-line-types-for-graphs-in-r-custom-linetype

#Rstats problems: Did you ever think that the dots for dotted lines are a bit too far apart per default? TIL that it's super easy to change this.

In #ggplot2, simply try something like:

scale_linetype_manual(
values = c(a = "dotted", b = "11")
)

The '11' means: 1 point for a dot, 1 point for a gap. Find out more here: https://stackoverflow.com/questions/25788945/how-to-define-more-line-types-for-graphs-in-r-custom-linetype

Dear @zimoun , thank you for such a rich meeting and sharing your experience with #ReproducibleResearch and #guix for this #tem25 thesis . :)

#orgmode Babel (blocks of code calling anything integrated with the text and images) are great for #LiteraryProgramming and reprod. research.

Also, thank you for your mention of #ggplot2 that @ansate nailed too a little later. :)

Thanks also to @bzg too. 🙏

Re #PeerGovernance, I'd be delighted to share my experience with the guix community anytime.

The {ggbot2} #RStats 📦 launches a chatbot you can speak to in plain language, and it can write ggplot2 R code and display the dataviz.
Plus: The {shinyrealtime} #RStats 📦 has a demo voice app that generates #dataviz code in both R and #Python
https://www.infoworld.com/article/4072500/how-to-run-an-r-data-visualization-chatbot-you-can-talk-to.html
#GenerativeAI #ggplot2

Wow, setting default labels for your data in #rstats using "label" attributes is a good idea. I'd never heard of this before, but I'm glad that #ggplot2 is now supporting it. Manually specifying axis labels was a bit tedious.

I do like that if you transform the data, the default label is not applied (see the sqrt(body_mass) variable in the first figure here).

https://www.tidyverse.org/blog/2025/09/ggplot2-4-0-0/#labels

Wow, setting default labels for your data in #rstats using "label" attributes is a good idea. I'd never heard of this before, but I'm glad that #ggplot2 is now supporting it. Manually specifying axis labels was a bit tedious.

I do like that if you transform the data, the default label is not applied (see the sqrt(body_mass) variable in the first figure here).

https://www.tidyverse.org/blog/2025/09/ggplot2-4-0-0/#labels

New presentation just posted at today's @useR_conf virtual conference: Plot Twist: Adding Interactivity to the Elegance of ggplot2 with ggiraph

By @tanya_shapiro & @CedScherer

Video https://www.youtube.com/watch?v=GnDjRxyO-7A

#RStats#DataViz #ggplot2 #user2025