Just gave an #rstats brain dump talk of pkgs/functions I've ♥️ over the last couple months. Aimed for the less obvious choices and called them "secret tRacks" after the cassette tape surprises (yes, I'm old) 🧵
`pak` rocks my world as package manger of choice over install.packages/devtools/remotes pak.r-lib.org
If you're not making animated svgs with `asciicast` you're missing out github.com/r-lib/asciicast
Emojis are v important. Find their unicodes for Rmd with ermoji github.com/gadenbuie/ermo…
Are you even a tech person if you don't use tons of web icons? `icons` got ya covered pkg.mitchelloharawild.com/icons/
How is this hot mess of an Excel spreadsheet different than the last one? `waldo` knows waldo.r-lib.org
Improve the rendering of your graphics by replacing png()/jpeg()/tiff() with agg_png()/agg_jpeg()/agg_tiff() ragg.r-lib.org
Don't let your gif joke get ruined when you land on a Xaringan slide mid-clip!!! xaringanExtra::freezeframe() guarantees play from the beginning and gives manual gif controls if you want them github.com/gadenbuie/xari…
janitor::tabyl() is the future of cross-tabulation cran.r-project.org/web/packages/j…
What did we do to deserve gtsummary? danieldsjoberg.com/gtsummary/
Avoid sidecar legends, and instead color-code your titles with ggtext wilkelab.org/ggtext/
Copying janky web data into a flawless tibble via datapasta is magic I will never fully understand milesmcbain.github.io/datapasta/
Interactive ggplots with ggiraph will save you when you find plotly doesn't work well in shiny/xaringan davidgohel.github.io/ggiraph/
Ship your code to arrive in style with styler styler.r-lib.org
Full talk here tgerke.github.io/secret-tracks/ with all the credit to these geniuses (who you should follow but I didn't want to tag and potentially wreck their mentions 😅)

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More from @travisgerke

11 May 20
After 6 years, I have left the tenure track. I’m beyond excited to begin a new #postac role (Director of Health Informatics) next week.

I do have some parting thoughts about the unique situation data scientists face in academia currently. 1/
There is increasing recognition that everyone *needs* a data scientist, and this is often distinct from a statistician (which everyone also needs!!). Data are messy, projects need reports/dashboards, figures should be elegant, reproducible pipelines/data sharing should happen.
Data scientists treat these problems as top priority. Statisticians need all that infrastructure to *just work* because they need to operate at top-of-license conducting inference.
Read 14 tweets
18 Jan 19
I took notes in tired/wired format from the *incredible* #rstudioconf workshop "What they forgot to teach you about R" by @JennyBryan and @jimhester_. Here are some highlights, in case useful for others.
Tired: Use absolute paths or 💀 setwd() 💀
Wired: Use here::here()
Tired: Search and browse for an .Rproj to open with Mac Spotlight.
Wired: Prioritize .Rproj files for immediate open/actions with alfredapp.com
Read 16 tweets

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