read_tree: Evaluate utilities
In pedroguarderas/mau: Decision Models with Multi Attribute Utility Theory
read_tree R Documentation
Evaluate utilities
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, Andrés 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 )
pedroguarderas/mau documentation built on Oct. 30, 2023, 4:20 a.m.
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| read_tree | R Documentation |
Evaluate utilities
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, Andrés 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 )
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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