lecture_10

Lecture_10 - BIOS 735 Statistical Computing Michael Wu(this lecture borrows heavily from Dr Nicola Sartori’s excellent tutorial Lecture 10 Data

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Unformatted text preview: BIOS 735: Statistical Computing Michael Wu (this lecture borrows heavily from Dr. Nicola Sartori’s excellent tutorial) Lecture 10: Data Analysis in R and Using Sweave September 22, 2011 Michael Wu (Lecture 10) BIOS 735 September 22, 2011 1 / 9 Data Analysis in R Although we frequently R for methodological research, R is also a useful tool for conducting collaborative work. Other software such as SAS, STATA, and SPSS are great, but lack the great flexibility offered by R. I Wide range of statistical methods built into R I Wide range of available packaged for advanced methods I Ability to conduct complex analyses using programming structures I Little overhead and reasonable memory management I It’s free. F Can’t beat the cost F Also allows for dissemination of code for reproduceable research I If you don’t know how to do something, there are large online communities. R is not perfect: I A lot of lousy packages. I It’s free. F Not all packages or functions are perfectly vetted. F Not all packages are well written. F No company standing behind the community to ensure that all software works properly. I You have to ask R for exactly what you want to see (SAS dumps pretty much everything you’ll ever want to know) Michael Wu (Lecture 10) BIOS 735 September 22, 2011 2 / 9 Reproducible Research: Data Analysis A key aspect of collaborative research is making sure that results are reproducible.A key aspect of collaborative research is making sure that results are reproducible....
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This note was uploaded on 11/18/2011 for the course BIOS 735 taught by Professor Staff during the Spring '10 term at UNC.

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Lecture_10 - BIOS 735 Statistical Computing Michael Wu(this lecture borrows heavily from Dr Nicola Sartori’s excellent tutorial Lecture 10 Data

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