R tips
From QERM Wiki
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===General=== | ===General=== | ||
* [[R/Editors | Editors that make writing R code easier]] | * [[R/Editors | Editors that make writing R code easier]] | ||
+ | * [[R/Test | Testing functions in R]] | ||
===Plots=== | ===Plots=== | ||
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* Sometimes R users need to encounter C, for example, to maintain an R package, or to speed up existing functions. It is fairly straightforward to run C code from within R. {{Pdf|RCinterface.pdf|Here}} is how, with some easy-to-follow examples. | * Sometimes R users need to encounter C, for example, to maintain an R package, or to speed up existing functions. It is fairly straightforward to run C code from within R. {{Pdf|RCinterface.pdf|Here}} is how, with some easy-to-follow examples. | ||
[[Category: R tips]] | [[Category: R tips]] | ||
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==Useful External Links== | ==Useful External Links== |
Revision as of 23:53, 15 June 2009
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
- 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
Numerical analysis
Other
- Interactive Debugging in R
- String Manipulation
- Sometimes R users need to encounter C, for example, to maintain an R package, or to speed up existing functions. It is fairly straightforward to run C code from within R.
Here is how, with some easy-to-follow examples.
Useful External Links
- R Users Wiki, with information of relevance to all levels of experience.
- A useful pdf cheat-sheet
- The NCEAS R Programming Resource Center
- R Graph Gallery - with lots and lots of sample plots and code.
- RSeek - the R-Google, or Roogle, or gRoogle, or something.