map.missSOM function

Map data to a supervised or unsupervised SOM

Map a data onto a trained SOM.

map(x, ...)

## S3 method for class 'missSOM'
map(x, newdata, maxNA.fraction = x$maxNA.fraction, ...)

Arguments

• x: an object of class missSOM.

• ...: Currently ignored.

• newdata: a matrix or data.frame, equal to the data argument of the imputeSOM function.

• maxNA.fraction: parameters that usually will be taken from the x object, but can be supplied by the user as well. Note that it is not possible to change distance functions from the ones used in training the map. See imputeSOM

  for more information.

Returns

A list with elements - unit.classif: a vector of units that are closest to the objects in the data.

• dists: distances of the objects to the closest units. Distance measures are the same ones used in training the map.

Examples

data(wines)
set.seed(7)

training <- sample(nrow(wines), 150)
Xtraining <- scale(wines[training, ])
somnet <- imputeSOM(Xtraining, somgrid(5, 5, "hexagonal"))

map(somnet, scale(wines[-training, ], 
                  center=attr(Xtraining, "scaled:center"), 
                  scale=attr(Xtraining, "scaled:scale")))

See Also

imputeSOM