R tips
From QERM Wiki
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* [[R/Optimizers | Optimizers]] | * [[R/Optimizers | Optimizers]] | ||
* [[R/Correlated Random Walk | Making a Correlated Random Walk]] | * [[R/Correlated Random Walk | Making a Correlated Random Walk]] | ||
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| + | ===Optimization=== | ||
| + | *[http://cran.r-project.org/web/views/Optimization.html CRAN list of optimization functions ]. Very, very extensive. | ||
===Other=== | ===Other=== | ||
Revision as of 23:56, 14 December 2011
This will be a repository of tips for using R. To add a tip, just create a link below, for example: Separating the Red Sea and save the page. The link will be red. Just click on the red link and you will automatically be editing the page. Nothing like a blank canvas to share your hard-gleaned wisdom!
Contents |
QERM wiki pages about R
General
Plots
- General Information on Plotting
- Plots for Publication
- Colors
- Making Inset Maps
- Ocean Colors: Obtaining and presenting satellite based chlorophyll concentrations maps
- Bathymetry data: like Ocean Colors, but for depth, and not as sophisticated yet
- Polygons from images sourced outside R
- Perspective Plots
- Contour Plots
- Adding letters to identify sub-figures
- Margins and Outer Margins
Spatial Analysis
Numerical analysis
Optimization
- CRAN list of optimization functions . Very, very extensive.
Other
- Interactive Debugging in R
- String Manipulation
- Run C code in R
- Running Windows/DOS shell commands in R
- Classes in R
- Totally Miscellaneous
Compatibility with LaTeX
See...
Useful External Links
- RSeek - the R-Google, or Roogle, or gRoogle, or something.
- The NCEAS R Programming Resource Center
- James Forester's R tips - Is a nice little blog with plenty of ecology related R tips, much in the vein of the QERM R tips.
Guides and Manuals
- A nice style guide for R syntax written by R users who work at Google.
- R for Beginners by Emmanuel Paradis
- YaRI - Yet another R Introduction by Andreas Handel
- A useful pdf cheat-sheet
- Biological Data Analysis Using R by Rodney Dyer is an open textbook on using R with biological applications. Note, in particular, the chapter on manipulating images.
- R Users Wiki, with information of relevance to all levels of experience.
Q&A and Examples Sites
- Stack Overflow has an increasing R presence. You can ask questions and usually get prompt and high-quality responses, though do be sure to search for similar questions and read their posting FAQ first.
- R Graph Gallery - with lots and lots of sample plots and code.
