Hey folks!
I wrote a little newsletter thingy about #rstats and research software engineering. It's basically a curated list of things to R and stuff that I found useful. Here it is if you want a read: https://www.njtierney.com/post/2024/01/10/rse-digest-january/
Let me know what you think :)
Check out my webinar on visualization of survival or time-to-event data using the {ggsurvfit} package.
Jan 25, registration information below!
https://www.r-consortium.org/blog/2024/01/04/harness-the-power-of-r-for-survival-analysis-join-our-ggsurvfit-webinar
My million dollar idea I want someone to steal and do, so I can be a customer.
"Dumb Stuff" we sell electronic appliances that aren't Internet connected. That's all.
That's it. That's the pitch. I would buy the <bleep> out of this company if their electronic gadgets were even half way decent, and repairable.
Electronic, no wifi, regular screws to open it up. That's it. Do those three things, and you can be sold by this store.
I will pay this business to curate and find these devices for me.
Hello #rstats friends!
The {ggsurvfit} package made its v1.0 release! πΊπ»πΊπ»
Check it out for your survival/time-to-event visualization needs! The plots are fully ggplot and integrate seamlessly with all the ggplot functions you you already know π
#datascience #survival #cran
https://www.danieldsjoberg.com/ggsurvfit/index.html
Ease the creation of time-to-event (i.e. survival) endpoint figures. The modular functions create figures ready for publication. Each of the functions that add to or modify the figure are written as proper ggplot2 geoms or stat methods, allowing the functions from this package to be combined with any function or customization from ggplot2 and other ggplot2 extension packages.