calcZpath: Construct a path of indices to visit to order variables
In AlanInglis/vividOld: Variable Importance and Variable Interaction Displays

Description Usage Arguments Value Examples

View source: R/zPath.R

Constructs a zenpath for connecting and displaying pairs.

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

`viv`	A matrix of class 'vivid' to be used to calculate the path.
`cutoff`	Do not include any variables that are below the cutoff 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).

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

# Load in the data:
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)

# Create matrix
viv <- vividMatrix(ozonet, ozonef)

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

# Create graph:
pdpZenplot(ozonet, ozonef, zpath=zpath)