class: center, middle, inverse, title-slide # PS 312: Programming with R ### Abhijit Dasgupta, PhD<br>District Data Labs ### March 25-27, 2019 --- layout: true <div class="my-header"> <span>PS 312, March 2019</span></div> --- class: middle, center # Introduction --- # .left-column[  ] .right-column[ - Experienced R user (20+ years) - Daily R user - Co-organizer of Statistical Programming DC meetup - Co-chair of Bioinformatics and Data Science Department, FAES Graduate School at NIH - Teaches highly rated __Practical R__ and __Data Visualization with R__ courses - Chief Data Scientist at [Zansors](http://www.zansors.com), a healthcare analytics startup in Arlington, VA - Statistical consultant for NIH ] --- # .left-column[  ] .right-column[ - Present at R conferences - DC R conference - useR! conference - [Blogger](https://webbedfeet.netlify.com/posts/) about statistics and R - Active on Twitter with `#rstats` - Excited about continuing changes and improvements to the R ecosystem ] --- class: middle, center # Expectations --- # We're not pointing or clicking - We will be writing code in this class - Succint instructions to the computer to do things - R will be our __language__ of choice in doing this - This is sort of old school - No point-and-click when I started in the late 90s - But it's very effective once you learn it --- # We're not pointing or clicking - I don't expect you to learn all the details in 3 days - But I'll give you resources to learn more - And point to where you might get questions answered - It won't all be simple - I want you to be able to __use__ R - Sometimes that means learning some more advanced material - I'll go slow with it, and try to get the mental model to you --- # A practical view - This will not be a geeky computer science class - This will be a modest refresher on statistics - If you hated stats before, maybe I'll change your mind - If you actually learned stats before, maybe I'll give you a fresh view - This will be about - learning good enough practices - making analyses reproducible - creating complete products - raw data to reports --- # A modern view - I'll keep things as current as I can - R has evolved a lot in 20 years - Maybe some of it will even excite you - Interactive graphics - Reproducible and repeatable reports - Mistake-free data-driven presentations - Cutting edge analyses - Supportive community --- # Workshop format - Mostly expository - Some hands-on - Use your post-its and stickers to get my attention - Use post-its for questions/comments - Ask questions if you're confused -