People seemed to be into the idea, so I am launching the Library of Statistical Techniques, or LOST. LOST is a Wiki guide to doing things in statistical software/code. Instructions, examples, and a little Rosetta stone btwn languages. github.com/NickCH-K/LOST/…
What's the point? (a) it's a way of providing more general guidance, in many languages at once, than StackExchange, (b) it makes it easy to link techniques to encourage best practices (i.e. the page about fixed effects can encourage, and link to, the page on clustering)
(c) when there are many different ways to do the same thing, allows for compare-and-contrast, or even savvy editors pointing towards a up-to-date "best" way, both difficult with Googling, and (d) offers a way to learn the material that's task-first.
It's light on content for now (I've written the only three articles, and in only two languages: #Rstats and #stata). So contribute! No Git knowledge necessary. And share so maybe others will contribute! See the contributor's guide here: github.com/NickCH-K/LOST
At least 66 people in this poll said they'd definitely contribute so now they are contractually obliged, it's the law. Do you want to be a lawbreaker?
Share this Scrolly Tale with your friends.
A Scrolly Tale is a new way to read Twitter threads with a more visually immersive experience.
Discover more beautiful Scrolly Tales like this.