zPath: zPath

In vivid: Variable Importance and Variable Interaction Displays

zPath

Description

Constructs a zenpath for connecting and displaying pairs.

Usage

zPath(
  viv,
  cutoff = NULL,
  method = c("greedy.weighted", "strictly.weighted"),
  connect = TRUE
)

Arguments

viv	A matrix, created by vivi to be used to calculate the path.
cutoff	Do not include any variables that are below the cutoff interaction value.
method	String indicating the method to use. The available methods are: "greedy.weighted": Sort all pairs according to a greedy (heuristic) Euler path with x as weights visiting each edge precisely once. "strictly.weighted": Strictly respect the order of the weights - so the first, second, third, and so on, adjacent pair of numbers of the output of zenpath() corresponds to the pair with largest, second-largest, third-largest, and so on, weight. see zenpath
connect	If connect is TRUE, connect the edges from separate eulerians (strictly.weighted only).

Details

Construct a path of indices to visit to order variables

Value

Returns a zpath from viv showing pairs with viv entry over the cutoff

Examples

## Not run: 
# To use this function, install zenplots and graph from Bioconductor.
if (!requireNamespace("graph", quietly = TRUE)) {
  install.packages("BiocManager")
  BiocManager::install("graph")
}
install.packages("zenplots")

aq <- na.omit(airquality) * 1.0

# Run an mlr3 ranger model:
library(mlr3)
library(mlr3learners)
library(ranger)
ozonet <- TaskRegr$new(id = "airQ", backend = aq, target = "Ozone")
ozonel <- lrn("regr.ranger", importance = "permutation")
ozonef <- ozonel$train(ozonet)

viv <- vivi(aq, ozonef, "Ozone")

# Calculate Zpath:
zpath <- zPath(viv, .8)
zpath

## End(Not run)

vivid documentation built on July 26, 2023, 5:22 p.m.