Demography 213 Readings
The main text book for this course is
R for Data Science by Hadley Wickham and Garret Grolemund.
Print ISBN-13: 978-1-4919-1039-9
The book is licensed for UC Berkeley students and can be accessed at
http://proquest.safaribooksonline.com/book/programming/r/9781491910382/firstchapter
NOTE: To use the online (UCB licensed version) you must first visit
https://guides.lib.berkeley.edu/ezproxy/browser-bookmarklet and drag the "EZproxy UCB" bookmarklet onto you browser's toolbar as described. You must also:
- enable javascript in your browser
- enable cookies
(Generally both javascript and cookies are enabled by default)
Because are is Wildly popular and incredibly useful to so many smart people, and because R is open source, it is natural and inevitable that it has changed and fragmented over the years. R for Data Science provides a solid grounding in a style of R that is currently very fashionable -- as well as efficient and elegant.
Other optional readings
There are lots of R resources both free and commercial which you might find useful. Below are several that I like, a more complete list is available at:https://www.r-project.org/doc/bib/R-books.html.
-
Introduction
to R by W.N. Venables and D.M. Smith. This is terse yet complete
document. It is also free to download.
-
R in Action
by Robert Kabacoff. This is friendlier approach to learning R. It is however, considerably more expensive than the Introduction
-
Getting Started with Rstudio by John Verzani. This is
licensed by UCB for use by students.
-
R in a Nutshell, 2nd Edition
. by Joseph Adler. A good overview of R for someone
refreshing their skill or perhaps someone who already knows a
bunch of other computer languages. NOTE the link should work if
you have a UCB ip address e.g. AirBears or a Demography Lab
workstation.
-
R Graphics Cookbook
. by Winston Chang. This book covers the ggplot2 graphics system in an efficient way -- for someone who is familliar with R graphics. If ggplot2 is completely new, then start with the Appendix. NOTE the link should work if you have a UCB ip address e.g. AirBears or a Demography Lab workstation.