numero.quality: Self-organizing map statistics

In Numero: Statistical Framework to Define Subgroups in Complex Datasets

Self-organizing map statistics

Description

Assign new data points to map districts and calculate quality measures

Usage

numero.quality(model, data = NULL)

Arguments

model	A list object that contains a self-organizing map (and a data layout).
data	A matrix or a data frame.

Details

The input argument model must be in the the output format as returned by numero.create().

Value

A list with named elements: som contains the self-organizing map; layout contains the district assignments for data points; planes contains smoothed district averages of quality measures, see nroAggregate() and nroMatch(); the element ranges contains the reference ranges to be used in nroColorize(); the element palette is the name of the colormap to be used for colorings; and statistics contains the output from nroPermute().

Examples

# Import data.
fname <- system.file("extdata", "finndiane.txt", package = "Numero")
dataset <- read.delim(file = fname)

# Set identities and manage missing data.
dataset <- numero.clean(dataset, identity = "INDEX")

# Prepare training variables.
trvars <- c("CHOL", "HDL2C", "TG", "CREAT", "uALB")
trdata <- numero.prepare(data = dataset, variables = trvars)

# Create a self-organizing map.
modl <- numero.create(data = trdata)

# Analyze map quality.
qc <- numero.quality(model = modl)

Numero documentation built on Sept. 17, 2024, 5:09 p.m.