clldaRes: Class object used for storing the results of a...

In HiDimDA: High Dimensional Discriminant Analysis

Description

‘predict.clldaRes’ Classifies multivariate observations in conjunction with a ‘clldaRes’ object.

‘print.clldaRes’ is the S3 print method for ‘clldaRes’ objects.

‘coef.clldaRes’ is the S3 coef method for ‘clldaRes’ objects.

Usage

## S3 method for class 'clldaRes'
predict(object, newdata, prior=object$prior, grpcodes=NULL,...)

Arguments

object	An object of class ‘clldaRes’.
newdata	Matrix of cases to be classified.
prior	The prior probabilities used.
grpcodes	Factor with the class codes. Set to 0:k-1 (k being the number of different classes) by default.
...	Further arguments passed to or from other methods.

Value

A list with components

class	The MAP classification (a factor)
x	The classification scores of the test cases.

See Also

Dlda, Mlda, Slda, RFlda, print, coef

HiDimDA documentation built on May 1, 2019, 10:52 p.m.