Models.dist.rank.aggregate: Create a Distance Matrix Corresponding to the Aggregated...

In thomasWeise/processMineR.modelDist: An R Package for Computing Distance Matrices from Models

Description

A distance matrix is constructed which represents the aggregated ranked distances between the models. This should be robust against some odd outliers.

Usage

Models.dist.rank.aggregate(models, distance = RegressionResult.dist.default,
  rank.all = rank.dist, rank.fromSingle = identity, aggregate = mean,
  cores = 1L, logging = FALSE)

Arguments

models	the Models records
distance	the RegressionResult-to-RegressionResult distance metric
rank.all	the ranking to be applied to all distances
rank.fromSingle	the ranking to be applied to all the distances from one specific sample to the other samples
aggregate	the function used for joining the models created by distance
cores	the number of CPU cores to use
logging	the logging setup, see makeLogger

Value

an instance of dist

See Also

Models.dist.rank.mean

Models.dist.rank.median

thomasWeise/processMineR.modelDist documentation built on May 29, 2019, 3:18 p.m.