proximity: Compute proximity matrix

In semtree: Recursive Partitioning for Structural Equation Models

Compute proximity matrix

Description

Compute a n by n matrix across all trees in a forest, where n is the number of rows in the data, reflecting the proportion of times two cases ended up in the same terminal node of a tree.

Usage

proximity(x, data, ...)

Arguments

x	An object for which a method exists.
data	A data.frame on which proximity is computed
...	Parameters passed to other functions.

Details

SEM Forest Case Proximity

Value

A matrix with dimensions [i, j] whose elements reflect the proportion of times case i and j were in the same terminal node of a tree.

Author(s)

Caspar J. Van Lissa, Andreas M. Brandmaier, John J. Prindle

References

Brandmaier, A.M., Oertzen, T. v., McArdle, J.J., & Lindenberger, U. (2013). Structural equation model trees. Psychological Methods, 18(1), 71-86.

See Also

semforest, semtree

Examples

nodeids <- structure(c(9, 3, 5, 7, 10, 4, 6, 8, 9, 3, 5, 7, 10, 4, 6, 8),
.Dim = c(4L, 4L))
class(nodeids) <- "semforest_node_id"
sims <- proximity(nodeids)
dd <- as.dist(1-sims)
hc <- hclust(dd)
groups <- cutree(hc, 2)

semtree documentation built on May 14, 2022, 1:05 a.m.