qr: QR Decomposition.

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

Description

The QR decomposition involves factorizing a matrix into QMatrix and RMatrix.

Usage

qr(object, ...)

Arguments

object	is of class FLMatrix
...	any additional arguments

Details

qr replicates the equivalent qr() generic function.

Value

qr returns a list of five components:

qr	a FLMatrix with the same dimensions as object. The upper triangle contains the R of the decomposition and the lower triangle contains information on the Q of the decomposition (stored in compact form)
qraux	a FLVector of length ncol(object) which contains additional information on Q.
rank	the FLVector giving rank of object
QMatrix	the resulting Q Matrix stored in-database as FLMatrix
RMatrix	the resulting R Matrix stored in-database as FLMatrix

Constraints

Input can only be with maximum dimension limitations of (700 x 700).

Examples

flmatrix <- FLMatrix(getTestTableName("tblMatrixMulti"), 5,"MATRIX_ID","ROW_ID","COL_ID","CELL_VAL")
resultList <- qr(flmatrix)
resultList$qr
resultList$qraux
resultList$rank
resultList$pivot

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