Series: The R Series

Series by cover

1–8 of 15 ( next | show all )

Works (15)

Advanced R by Hadley Wickham
Analyzing Baseball Data with R by Max Marchi
Computational Actuarial Science with R by Arthur Charpentier
Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R by Daniel S. Putler
Dynamic Documents with R and knitr (Chapman & Hall/CRC The R Series) by Yihui Xie
Event history analysis with R by Göran Broström
Growth Curve Analysis and Visualization Using R (Chapman & Hall/CRC The R Series) by Daniel Mirman
Implementing Reproducible Research (Chapman & Hall/CRC The R Series) by Victoria Stodden
Introduction to Scientific Programming and Simulation Using R by Owen Jones
Programming Graphical User Interfaces with R by Michael Lawrence
R Graphics by Paul Murrell
Reproducible Research with R and RStudio (Chapman & Hall/CRC The R Series) by Christopher Gandrud
Statistical Computing in C and R (Chapman &Hall/CRC The R Series) by Randall L. Eubank
Using R for Introductory Statistics, Second Edition (Chapman & Hall/CRC The R Series) by John Verzani
Using R for Numerical Analysis in Science and Engineering (Chapman & Hall/CRC the R) by Victor A. Bloomfield

Related tags


  1. ggplot2: Elegant Graphics for Data Analysis by Hadley Wickham (2009)
  2. The Art of R Programming: A Tour of Statistical Software Design by Norman Matloff (2011)
  3. Software for Data Analysis by John M. Chambers (2008)
  4. An Introduction to Statistical Learning: with Applications in R by Gareth James (2013)
  5. R Cookbook (O'Reilly Cookbooks) by Paul Teetor (2011)
  6. The R Book by Michael J. Crawley (2007)
  7. R Graphics Cookbook by Winston Chang (2012)
  8. Graphics of Large Datasets: Visualizing a Million by Antony Unwin (2006)
  9. A Handbook of Statistical Analyses Using R, Second Edition by Brian S. Everitt (1994)
  10. Discovering Statistics Using R by Andy Field (2012)
  11. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython by Wes McKinney (2012)
  12. Applied Predictive Modeling by Max Kuhn (2013)
  13. Bayesian Data Analysis by Andrew Gelman (1995)
  14. R in a Nutshell: A Desktop Quick Reference by Joseph Adler (2010)
  15. Statistical Computing with R by Maria L. Rizzo (2008)

Series description


How do series work?

To create a series or add a work to it, go to a "work" page. The "Common Knowledge" section now includes a "Series" field. Enter the name of the series to add the book to it.

Works can belong to more than one series. In some cases, as with Chronicles of Narnia, disagreements about order necessitate the creation of more than one series.

Tip: If the series has an order, add a number or other descriptor in parenthesis after the series title (eg., "Chronicles of Prydain (book 1)"). By default, it sorts by the number, or alphabetically if there is no number. If you want to force a particular order, use the | character to divide the number and the descriptor. So, "(0|prequel)" sorts by 0 under the label "prequel."

What isn't a series?

Series was designed to cover groups of books generally understood as such (see Wikipedia: Book series). Like many concepts in the book world, "series" is a somewhat fluid and contested notion. A good rule of thumb is that series have a conventional name and are intentional creations, on the part of the author or publisher. For now, avoid forcing the issue with mere "lists" of works possessing an arbitrary shared characteristic, such as relating to a particular place. Avoid series that cross authors, unless the authors were or became aware of the series identification (eg., avoid lumping Jane Austen with her continuators).

Also avoid publisher series, unless the publisher has a true monopoly over the "works" in question. So, the Dummies guides are a series of works. But the Loeb Classical Library is a series of editions, not of works.


legallypuzzled (14), AnnaClaire (1)
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