fda: Flexible Discriminant Analysis

In Fuzzy-Logix/AdapteR: Converts R syntax to SQL to provide fast analytics using in-database C++ library DB Lytix.

Description

fda performs Flexible Discriminant Analysis on FLTable objects. library(mda)

Usage

fda(formula, data = list(), ...)

Arguments

formula	A symbolic description of model to be fitted
data	An object of class FLTable or FLTableMD.
MaxMARSMaximum	number of basis functions to be used for multivariate nonparametric regression step where multivariate adaptive regression splines is used.
MinRsq	Terminating condition for multivariate regression step based on change in Rsq upon addition of new basis functions.

Details

The DB Lytix function called is FLFlexDiscriminant. Performs Flexible Discriminant Analysis and stores the results in predefined tables.

Value

fda returns an object of class FLLDA

See Also

fda for R reference implementation.

Examples

deeptbl <- FLTable("tblIrisDeep", "ObsID", "VarID", "Num_Val")
flmod <- fda(a~., data = deeptbl)
vpred <- predict(flmod);coefficients(flmod);confusion(flmod)
Performs flexible discriminant analysis and stores the results in predefined tables. It
involves the use of multivariate adaptive regression splines for obtaining a basis
transformation of the independent variables and performing the multivariate
non-parametric regression step in the Flexible Discriminant Analysis procedure.

couldnt be implemented: plot, values, precent.explained
(lack of data of discriminant space).

Fuzzy-Logix/AdapteR documentation built on May 6, 2019, 5:07 p.m.