@scottakenhead: @_bcullen @Adam_C_Garber tipcentrics:
\<$– comments in Rmd text, not R code →
– missing in cheatsheets and most documentation.
date: ‘r format(https://t.co/kTTuhNaQYO(), "%Y %B %d")‘
– dynamic date, in ISO not USA.
20 $^\circ \text(C)$
– some despair required
#rstats #Rmd (View Tweet)
@divadnojnarg: (2/4) Earning few JS skills for #RStats #shiny has loads of benefits:
Optimize apps: less code from the server (R): https://t.co/ClqdAXok15
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@jillianerowe: Deploy your RShiny Application to AWS using Lightsail. #Bioinformatics #aws #r #rshiny #docker https://t.co/3YMnICl3ao (View Tweet)
@simon_rolph: Sending users to deep links in a web app and want to ask them a question before they arrive at the app? (yes it’s a bit niche) A small shiny app for just that #Rstats #Rshiny https://t.co/KoJHKBvzwN #accidentalshinydeveloper (View Tweet)
@MilesMcBain: I really should talk about {capsule} #rstats: https://t.co/9UTh9b54xs (View Tweet)
@rstudiotips: PSA: If you’re using @RStudio with R 4.2 on Windows, please update to the just-released 2022.02.3. There’s an issue with R 4.2 and older @RStudio releases that can empty your R scripts.
Download update -> https://t.co/ysKdxefMxM
More details -> https://t.co/FYB7SXMJIj
#rstats (View Tweet)
@_ColinFay: This week I gave the last session of a 4 days training on JavaScript for {shiny}.
Attendees were seasoned shiny devs, and were amazed by the extent of what you can do with {shiny} once you start mastering JS & understanding how both can work together. (View Tweet)
@_ColinFay: If you stick to R wrappers for JS libs… that’s probably 0,1% of what JS can offer.
Once you start mastering JS \<> {shiny}, “the sky is the limit”. Most of the time you can pick a JS lib online and plug it into your app. (View Tweet)
@_ColinFay: Anyway, my number one advice for {shiny} devs is to start learning JS, and all the web technologies. That will def take your apps to the next level. (View Tweet)
@_ColinFay: @TeslaDuBois Unfortunately it’s an internal company training, so I can share the material as is, but here are some resources I would suggest :
@_ColinFay: “We use Azure Devops” https://t.co/zMhLrZp6Ci (View Tweet)
@_ColinFay: That’s it, it happened. I just coded a tool today that I had already coded 2 years ago, just because I had completely forgotten I had already coded it before. (View Tweet)
@_ColinFay: {shiny} dev pro-tip : learn how to use options(“shiny.trace” = TRUE).
It can save your life from time to time (View Tweet)
@_ColinFay: Before I start building one, is there a tool to work with conventional commits in #RStats ?
(Paging @ma_salmon who I heard talking about that the other day, and who is the Wikipedia of R) (View Tweet)
@dgkeyes: I kinda don’t believe it when I get the green one.
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@_bcullen: #rstats friends: what are your favorite “lesser known” tips & tricks for using R Markdown? e.g. any feature(s) (big or small) you’ve picked up at some point along your #rmarkdown journey that you now use on a regular basis and wish you knew earlier? 👀👂 (View Tweet)
@lisalendway: @_bcullen Likely not lesser known, but adding th code download option to the YAML header. I don’t know why I ever avoided telling my students about that … now I require it! (View Tweet)
@JennyBryan: @_bcullen @juliesquid knitr::knit_exit() for figuring out where the deeply broken thing is by bisecting your Rmd
https://t.co/u5AQZ6kKcc (View Tweet)
@Shel_Kariuki: @_bcullen Embedding links, especially on the YAML.
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@tjmahr: @_bcullen use project-relative paths with here::here() to avoid any funny business like like report/main.Rmd not being able to see data/data.csv (View Tweet)
@grant_mcdermott: @_bcullen Use pandoc’s “fenced div” approach for multi-column environments that work consistently across output types. https://t.co/WmE12wRIXX
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@BeaMilz: @_bcullen knitr::combine_words()
I learned this function recently and used quite some times!
https://t.co/WENzMmZIS1 (View Tweet)
@d_olivaw: @_bcullen @apreshill Use the opts_chunk$set(cache.exta = 1) to invalidate all cache and start fresh. (View Tweet)
@DrewWalkerr: @_bcullen @juliesquid Just discovered knitr::purl() which converts your rmd to an r script w/same title, super helpful when trying to make your analysis executable by a batch file or the like!
https://t.co/2J3bClEeRS (View Tweet)
@brshallo: @_bcullen knitr::knit_code() is something I think is pretty nifty. @statsgen has a great post on it: https://t.co/lzxDyhUdJp . I use it indirectly via the flair and flipbookr packages for communicating code (these use knitr::knit_code() in the background to do their magic). (View Tweet)
@chendaniely: @_bcullen xaringan::inf_mr(cast_from = “../..”)
to be able to reference figures outside your rmd working directory in xaringan
pagedown::chrome_print(“something.html”)
to print your slides without opening chrome (View Tweet)
@chrisderv: @_bcullen Use the asis knitr engine to conditionally add text content in a document. Very useful for multiple output format or combined with parametrized report to generate different text content from the same Rmd source.
https://t.co/qtnBOm5GWc (View Tweet)
@GoldbergData: @_bcullen knit_child() let’s you define a template Rmarkdown and you can loop over arguments and recreate that structure.
Use case: Imagine you have a document with an intro section and then many subsections that follow a similar structure. knit_child() can automate the smaller sections. (View Tweet)
@mapaulacaldas: @_bcullen You can use the Ctlr + Alt + I to create new code chunks AND to break up big ones into two (View Tweet)
@DagHjermann: @_bcullen Ctrl + Shift + O for showing an overview of your script (shows headers and functions) (View Tweet)
@aggokittu: @_bcullen @rstatstweet Turn sections into tabs with .tabset . So users can click on tab titles instead of scrolling. Provides easy organization of parallel content. (View Tweet)
@ericbonucci: @_bcullen Drag and drop formulas from Wikipedia into your R Markdown report!
https://t.co/HP0bm5j4mJ (View Tweet)
@bcullen: @ericbonucci Wow, awesome! Thanks for sharing. You might also like @datalorax‘s {equatiomatic} 📦, which is simply amazing for LaTeX formulas: https://t.co/Rktjus6Hps (View Tweet)
@cpsievert: 📢 I’m thrilled to share that shiny 1.6.0 is now on CRAN!
🎉
This release makes so much easier to create beautiful, performant, and accessible #rshiny #rstats apps.
https://t.co/OwRSkCbzKK
(View Tweet)
@dreamRs_fr: New release on CRAN for shinyWidgets ! 🎉 Bug fixes and a new function statiCard() to create animated cards in #rshiny apps. See more https://t.co/XFn6XpXPGq #RStats https://t.co/N20mED2LJ4 (View Tweet)
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