zPath

Constructs a zenpath for connecting and displaying pairs.

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).

Value

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

Details

Construct a path of indices to visit to order variables

Examples

if (FALSE) {
# 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
}