DiscriMiner (version 0.1-22)

classify: Classification function

Description

Classify provided observations based on a given Discriminant object

Usage

classify(DA_object, newdata)

Arguments

DA_object

discriminant analysis object

newdata

vector or matrix or data frame with variables for which their classes will be calculated

Value

• A list with the following elements
• scores
  discriminant scores for each observation
• pred_class
  predicted class

Details

A DA_object is a discriminant analysis (DA) object obtained from a geometric predictive DA (class "geoda"), a linear DA (class "linda"), a quadratic DA (class "quada"), or a DISQUAL analysis (class "disqual")

See Also

geoDA, linDA, quaDA, plsDA, disqual

Examples

# load iris dataset
  data(iris)

  # linear discriminant analysis
  my_lin1 = linDA(iris[,1:4], iris$Species)

  # select a sample of 15 observations
  set.seed(111)
  obs = sample(1:nrow(iris), 15)
  some_data = iris[obs, 1:4]
  
  # classify some_data
  get_classes = classify(my_lin1, some_data)
  get_classes
  
  # compare the results against original class
  table(iris$Species[obs], get_classes$pred_class)