classify {nclSLR} | R Documentation |
Classify provided observations based on a given Discriminant object
classify(DA_object, newdata)
DA_object |
discriminant analysis object |
newdata |
vector or matrix or data frame with variables for which their classes will be calculated |
A DA_object
is a discriminant analysis (DA) object obtained from a
linear DA (class "linda"
) or a quadratic DA (class "quada"
).
A list with the following elements
scores |
discriminant scores for each observation |
pred_class |
predicted class |
Gaston Sanchez
## Not run: # 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) ## End(Not run)