This is the online version of the O’Reilly book: Efficient R programming.
To build the book:
- Install the latest version of R
- If you are using RStudio, make sure that’s up-to-date as well
-
Install the book dependencies.
## Make sure you are using the latest version of `devtools` ## Older versions do not work. devtools::install_github("csgillespie/efficientR")
- Clone the efficientR repo
- If you are using
RStudio
, openindex.Rmd
and clickKnit
.- Alternatively, use the bundled
Makefile
- Alternatively, use the bundled
References
Lovelace, Robin, and Morgane Dumont. 2016. Spatial Microsimulation with R. CRC Press. http://robinlovelace.net/spatial-microsim-book/.
Table of Contents:
Appendix
The book is available, here.
DSC Resources
- Career: Training | Books | Cheat Sheet | Apprenticeship | Certification | Salary Surveys | Jobs
- Knowledge: Research | Competitions | Webinars | Our Book | Members Only | Search DSC
- Buzz: Business News | Announcements | Events | RSS Feeds
- Misc: Top Links | Code Snippets | External Resources | Best Blogs | Subscribe | For Bloggers
Additional Reading
- What statisticians think about data scientists
- Data Science Compared to 16 Analytic Disciplines
- 10 types of data scientists
- 91 job interview questions for data scientists
- 50 Questions to Test True Data Science Knowledge
- 24 Uses of Statistical Modeling
- 21 data science systems used by Amazon to operate its business
- Top 20 Big Data Experts to Follow (Includes Scoring Algorithm)
- 5 Data Science Leaders Share their Predictions for 2016 and Beyond
- 50 Articles about Hadoop and Related Topics
- 10 Modern Statistical Concepts Discovered by Data Scientists
- Top data science keywords on DSC
- 4 easy steps to becoming a data scientist
- 22 tips for better data science
- How to detect spurious correlations, and how to find the real ones
- 17 short tutorials all data scientists should read (and practice)
- High versus low-level data science
Follow us on Twitter: @DataScienceCtrl | @AnalyticBridge