January 22. Introduction to R. January 29. More ways to index vectors; logical operations; first text functions. February 5. Conditionals and loops. February 19. Data-type wrap-up; regular expressions (printable handout). February 26. Functions; abstraction; modularity (printable handout). March 12. Higher-order functions and dplyr. (printable handout). March 26. Visualization (1). (printable handout). April 2. XML. (printable handout). April 9. No slides. We explored Quiet Transformations and Signs@40, and we looked at the explanation of modeling choices in Signs@40. For more introductory exposition, see homework 10, due April 16. April 16. Topic modeling (2); being reductive (printable handout). (Figure 2 has been cosmetically modified from the version we looked at in class.) April 23. Network basics. The paper handout from class will not exactly match these, which have some corrections to the slides I showed. The sample data is on Sakai. April 30. Named entity recognition. (printable handout).