Dear Adrian
Apart from the Virtual R Workbench I've written, I am not aware of a
software/plugin that enables the use of R from jEdit (you have only
extensions for enabling R syntax highlighting). The workbench embeds a
patched version of jEdit as a view. I have added to the jEdit ToolBar
buttons for sourcing the script beeing edited to your R Server or to the
jython / Groovy interpreters available on client and on server sides.
The spreadsheet view has a similar feature + data import/export to R +
use of R functions in computed cells .
the workbench is available:
-as an applet :
http://biocep-distrib.r-forge.r-project.org/rworkbench_applet.html
-as a Java Web Start application :
http://biocep-distrib.r-forge.r-project.org/rworkbench.jnlp
-as a desktop application : java -jar biocep.jar
(http://biocep-distrib.r-forge.r-project.org/appletlibs/biocep.jar)
you've got a "Getting Started" for runnig and connecting to R Servers
here : http://biocep-distrib.r-forge.r-project.org/doc.html#Deliverables
you may also want to have a look the flollowing eclipse plugin :
http://www.walware.de/goto/statet
it will probably in the near future embed biocep-core to run and control
R Servers from eclipse.
Best wishes,
Karim
Adrian Dusa wrote:
Dear Karim,
I am currently using jEdit for writing R code, and I find your R integration
highly useful. What should one do in order to link jEdit and R, is there a
jEdit plugin or something?
Thank you,
Adrian
On Tuesday 13 May 2008, Karim Chine wrote:
Michael, All,
You may want to check the following link: www.biocep.net ,
it's about a general unified open source (Apache 2.0) solution for
integrating R.
I have been working on it for about a year and a half, it's still work
in progress but most of the announced features are in full working order.
I should release it before the tutorial I will be giving during useR!
2008 (http://www.statistik.uni-dortmund.de/useR-2008/tutorials/chine.html)
Biocep use cases include : run R as a Server (RMI,HTTP,SOAP) , generate
Web Services for R functions (stateful/stateless), deploy an R
virtualization infrastructure,
use a highly-productive workbench to control R Servers ( multi-platform
GUI for R, most advanced one currently available with spreadsheet views,
embedded jEdit,
interactive Zoom/Scroll on R graphics, extensibility with plugins,..)
and more..
Slides can be found here :
http://biocep-distrib.r-forge.r-project.org/distR.pdf
Best wishes,
Karim
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