rf2rfz saves a RF-SRC object as a .rfz compressed file
that is readable by the randomForestSRC Java plugin that is
capable of visualizing the trees in the forest.
Usage
rf2rfz(object, forestName = NULL, ...)
Arguments
object
An object of class (rfsrc, grow) or (rfsrc,
forest). Requires forest=TRUE in the
original rfsrc call.
forestName
The desired prefix name for forest as a string.
...
Further arguments passed to or from other methods.
Details
An .rfz compressed file is actually a .zip file
consisting of three files. The first is an ASCII file of type
.txt containing the $nativeArray component of the
forest. The second is an ASCII file of type .factor.txt
containing the $nativefactorArray component of the forest. The
third is an ASCII file of type .xml containing the PMML
DataDictionary component.
PMML or the Predictive Model Markup Language is an XML based language
which provides a way for applications to define statistical and data
mining models and to share models between PMML compliant applications.
More information about PMML and the Data Mining Group can be found at
http:
The function rf2rfz is used to import the geometry of the
forest to the RF-SRC Java plugin that is capable of visualizing the
trees in the forest.
The geometry of the forest is saved as a file called
forestName.rfz in the users working directory. This file can
then be read by the randomForestSRC Java plugin.
Contact the authors on downloading the Java plugin.
Value
None.
Note
Contact the authors on downloading the Java plugin.
Author(s)
Hemant Ishwaran and Udaya B. Kogalur
References
http:
See Also
rfsrc
Examples
## Not run:
# Example 1: Growing a forest, saving it as a emph{.rfz} file ready
# for import into the Java plugin.
library("XML")
data(veteran, package = "randomForestSRC")
v.obj <- rfsrc(Surv(time, status)~., data = veteran)
rf2rfz(v.obj$forest, forestName = "veteran")
## End(Not run)