1. Data Manipulation Steve Allison allisons@uci.edu

2. Language R… – is an interpreted language – is highly interactive – is case sensitive (mydata ≠ Mydata ≠ myData) – stores data in a variety of classes (more on this…) – language is fully documented (available here) and open sourceavailable here

3. Coding vs. Menus Efficiency of complicated procedures Ease of reproducing output Readability Customization

4. VocabulaRy Object Function Workspace Working directory History Package Call

5. A brief tour of RStudio RStudio is a GUI for R Panes (Source, Console, Workspace, Utilities) Code completion Projects Check out the screencast at http://rstudio.org/http://rstudio.org/

6. Rules for naming data structures Must begin with a letter, no spaces, no _ good.name1 vs. 2_poor name Assignment syntax: <- (not = ) Formally reserved words if else repeat while function for in next breakTRUE FALSE NULL Inf NaN NA NA_integer_ NA_real_ NA_complex_ NA_character_ Informally reserved words data file formula summary

7. Packages “Currently, the CRAN package repository features 3732 available packages.”

8. Many Types of Data Import User input Text files Excel files (uses gdata or xlsx ) Others

9. Data Classes Vectors Matrices Arrays Data Frames Lists Factors Various model objects

10. Finding Help Calling a help file: ?seq#function name help(aov)#function name ??tukey#fuzzy match example(lm)#worked example Online resources – Quick R Quick R – UCLA stats department UCLA stats department – CRAN CRAN – R for SAS Users R for SAS Users – UseR! UseR!