Works Cited

Books

[Adl10] Joseph Adler. R in a Nutshell. O’Reilly Media. 2010.

[GH06] Andrew Gelman and Jennifer Hill. Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press. 2006.

[HTF09] Trevor Hastie, Robert Tibshirani, and Jerome Friedman. The Elements of Statistical Learning. Springer. 2009.

[JMR09] Owen Jones, Robert Maillardet, and Andrew Robinson. Introduction to Scientific Programming and Simulation Using R. Chapman and Hall. 2009.

[Pea09] Judea Pearl. Causality. Cambridge University Press. 2009.

[Seg07] Toby Segaran. Programming Collective Intelligence: Building Smart Web 2.0 Applications. O’Reilly Media. 2007.

[Spe08] Phil Spector. Data Manipulation with R. Springer. 2008.

[Wic09] Hadley Wickham. ggplot2: Elegant Graphics for Data Analysis. Springer. 2009.

[Wil05] Leland Wilkinson. The Grammar of Graphics. Springer. 2005.

Articles

[DA10] Douglas Aberdeen, Ondrej Pacovsky, and Andrew Slater. The Learning Behind Gmail Priority Inbox. LCCC : NIPS 2010 Workshop on Learning on Cores, Clusters and Clouds. http://research.google.com/pubs/archive/36955.pdf. 2010.

[HW11] Hadley Wickham. The Split-Apply-Combine Strategy for Data Analysis. Journal of Statistical Software. April, 2011. 40. 1.

[LF08] Uwe Ligges and John Fox. R help desk: How can I avoid this loop or make it faster?. http://www.r-project.org/doc/Rnews/Rnews_2008-1.pdf. May 2008.

[SR08] Randall Stross. What Has Driven Women Out of Computer Science?. The New York Times. November 15, ...

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