numero.evaluate {Numero} | R Documentation |
Evaluate regional variation of data values on a self-organizing map
numero.evaluate(model, data)
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
can be the output from
numero.create()
or from numero.quality()
.
A list with named elements: som
contains the self-organizing map,
layout
contains the district assignments for data points,
planes
contains smoothed district averages from
nroAggregate()
, the element ranges
contains the
reference ranges to be used in nroColorize()
,
the element statistics
contains the output from
nroPermute()
, the element palette
is the name of
the colormap and the element data
contains the data points
that were used for calculating the statistics.
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) # Evaluate map statistics for all variables. stats <- numero.evaluate(model = modl, data = dataset)