Using javawfm via the farmR package for R

Introduction

The easiest way to install and use the functionality of javawfm is via its R package equivalent, farmR. farmR provides a relatively simple way to setup and solve simple models in the R environment. In addition, R provides methods for plotting, extracting data and organising work into scripts so that farm model results can be integrated with other analyses.

Installation

• First download and install R if you haven't already. Pre-packaged binaries of R are available from CRAN http://cran.r-project.org/ for Windows, Linux and Macintosh systems.
• Install the package using R's package manager. Be sure to also install the dependencies rJava and sp as well.

Getting Started

To make sure the package is loaded type

require(farmR)

at the R command prompt.

A basic farm can be created and solved as follows;

# Create a farm with default parameters
fm=Farm()
# Solve the farm model
solvelp(fm)
# Show basic information about the solution
show(fm)
# Extract key solution variables into an R data frame
data.frame(fm)

To get a list of the available methods and classes type

help(package="farmR") 

at the R command prompt. For any of the classes or methods listed, help can be obtained by typing

help(methodOrObjectName)

where methodOrObjectName is the name of a method or object you want help on.