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Additional Resources Introduction to R, Part II
Anna Blackstock Statistician, Biostatistics and Information Management Office (BIMO) NCEZID/DFWED
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When you have a question…
Ask your nearest R user Ask a statistician or data scientist Search and then ask if no one has asked before on Stack Overflow Before you ask a question, see:
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When you get stuck . . . Tried and true methods:
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Additional Resources Look at tutorials—R and RStudio
See USGS R resources (they are awesome): curriculum/ Check out cheatsheets Take a MOOC Read an online book
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R at the CDC--RUG There are a lot of resources, including links to presentations and instructions for joining the listserv, available at the RUG website:
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Advice from Dr. Seuss “You can get help from teachers, but you are going to have to learn a lot by yourself, sitting alone in a room.” Dr. Seuss "On Becoming a Writer" The New York Times May 21, 1986 From Beau Bruce’s PowerPoint presentation “ Where to now_” from Emory Bootcamp 301.
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Experienced programmers
Even experienced programmers not infrequently want to: Pull their hair out Throw the computer out the window Take a sledgehammer to the monitor Take a deep breath, a long break, or come back to it another day From Beau Bruce’s PowerPoint presentation “ Where to now_” from Emory Bootcamp 301.
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Keep in Mind “The only way to write good code is to write lots and lots of bad code.” -Hadley Wickham
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R is everywhere! “So to all non-technical professionals looking to get technical: If you want to become a software engineer, by all means learn Ruby or go through the Javascript tutorials on Codecademy. But if you’re simply a business professional looking to gain an edge on your peers, trust me, you are much better off learning R [1].” –Leada co-founder Biran Liou, in “Why are YOU learning to code?” Why Learn R?: Why now is the time to learn R: Kdnuggets poll: Leada “Whare are YOU learning to code?”:
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More R “Stuff” Shiny by RStudio– “A web application framework for R” ( R Markdown– “An authoring format that enables easy creation of dynamic documents” ( R-Fiddle– Allows for easy code sharing, can run code from within browser ( Swirl– “Learn R, in R” ( BioConductor– “tools for the analysis and comprehension of high- throughput genomic data” (
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