Read.Tree: Evaluate utilities

In mau: Decision Models with Multi Attribute Utility Theory

Description

Read a csv file where the decision tree is defined.

Usage

Read.Tree(file, skip, nrows)

Arguments

file	input csv file containing the tree.
skip	starting row for read.
nrows	number of rows to read.

Value

data.table with utilities.

Author(s)

Pedro Guarderas, Andr<c3><a9>s Lopez

See Also

Read.Utilities, Make.Decision.Tree

Examples

library( data.table )
library( igraph )
file<-system.file("extdata", "tree.csv", package = "mau" )
sheetIndex<-1
tree.data<-Read.Tree( file, skip = 0, nrows = 8 )

mau documentation built on May 1, 2019, 8:23 p.m.