numero.quality {Numero} | R Documentation |
Evaluate regional variation of data values on a self-organizing map
numero.quality(model, data = NULL)
model |
A list object that contains a self-organizing map and a data layout. |
data |
A matrix or a data frame. |
The input argument model
must be in the the output format
as returned by numero.create()
.
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()
.
Ville-Petteri Makinen
# 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)