Download and installation

Quick Installation guide

Having installed the R package you now need to install Rserve.

Setting up Rserve and running it

To be able to use R as a back-end for the WPS, it is also necessary to install Rserve. The wps connects to R using Rserve, which is available from CRAN. First we need to install Rserve. We'll do this from CRAN.

  1. Define a library (e.g. Rlibs) where the R libraries are stored, and start R with R_LIBS=~/Rlibs R
  2. On the R prompt, install Rserve by > install.packages("Rserve")
  3. The intamap package can be installed similarly, and automatically loaded by: > install.packages("intamap")
    > library(intamap)
    > timeModels <- generateTimeModels()
    > .First <- function() {
    library(intamap)
    }
    > q("yes")     This creates a file called .Rdata which will be loaded every time R/Rserve is started from the same directory. The line > timeModels <- generateTimeModels()
     is necessary for generating time models that are consistent with the architecture where Rserve is running.
  4. Rserve can now be started, from the same directory where it was started earlier and in daemon mode, by R_LIBS=~/Rlibs nohup R CMD Rserve --no-save & This will append the output from R to the logfile nohup.out.

You can find more details about the installation of Rserve here .

Now you need to install the INTAMAP WPS.