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(→Installation of R Project for Statistical Computing) |
(→Installation of R Project for Statistical Computing) |
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* If you do not have an installed R version download the latest binary distribution from [https://ftp.gwdg.de/pub/misc/cran/ binary distribution of R]. Just run the binary executable for a Windows-style installer with administrator rights. | * If you do not have an installed R version download the latest binary distribution from [https://ftp.gwdg.de/pub/misc/cran/ binary distribution of R]. Just run the binary executable for a Windows-style installer with administrator rights. | ||
* Accept all default settings including default installation folder. | * Accept all default settings including default installation folder. | ||
| − | * Open QGIS 3.10. {{mitem|text= | + | * Open QGIS 3.10. {{mitem|text=Plugins --> Manage and Install Plugins}} Search for and install the '''Processor R plugin'''. |
| − | * Open QGIS and configure Options --> Providers --> R scripts}} as shown below. Note, the '''R user library folder''' should point to a folder which is writeable with standard user rights. | + | |
| + | * Open QGIS and configure Options --> Providers --> R scripts}} as shown below and check the path names. Note, the '''R user library folder''' should point to a folder which is writeable with standard user rights. | ||
[[File:qgis_rscripts_setup.png|600.png]] | [[File:qgis_rscripts_setup.png|600.png]] | ||
Revision as of 14:12, 23 April 2020
Installation of R Project for Statistical Computing
- In case you have already a R version installed jump to the 4th bullet point.
- If you do not have an installed R version download the latest binary distribution from binary distribution of R. Just run the binary executable for a Windows-style installer with administrator rights.
- Accept all default settings including default installation folder.
- Open QGIS 3.10. Plugins --> Manage and Install Plugins Search for and install the Processor R plugin.
- Open QGIS and configure Options --> Providers --> R scripts}} as shown below and check the path names. Note, the R user library folder should point to a folder which is writeable with standard user rights.
