microClust: This function is the core of the neighSmooth. See the...

In DepecheR: Determination of essential phenotypic elements of clusters in high-dimensional entities

Description

This function is the core of the neighSmooth. See the documentation there for details.

Usage

microClust(
  dataCenter,
  dataNeigh,
  dataReturn,
  method = "median",
  k = 11,
  trim = 0
)

Arguments

dataCenter	The original data.
dataNeigh	The data for the neighbors. Often stronly overlapping with the dataCenter, but for internal reasons, this data cloud is larger than the dataCenter cloud.
dataReturn	The neighbor data that should be aggregated and sent back.
method	Should median or mean be calculated?
k	Number of neighbors.
trim	If mean of the neighbors is returned, should it be calculated with trimming?

Value

A dataset with the same shape as dataCenter, filled with aggregated information from the k nearest neighbors.

DepecheR documentation built on Nov. 8, 2020, 5:44 p.m.