cov.wtGeneric: Weighted Covariance.

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

Description

cov.wt computes correlation of in-database Objects

Usage

## S3 method for class 'wtGeneric'
cov(x, wt = rep(1/nrow(x), nrow(x)), cor = FALSE,
  center = TRUE, method = 1, rowIdColumn = "rowIdColumn",
  colIdColumn = "colIdColumn", valueColumn = "valueColumn")

Arguments

x	FLMatrix, FLVector or FLTable object or any R object
y	FLMatrix, FLVector or FLTable object or any R object
...	any additional arguments

Value

cor returns FLMatrix object representing correlation of x and y.

Constraints

The method input can be 1,2,3 as in DB-Lytix manual. "ML" method is equivalent to method=1."unbiased" is not supported. The number of non-null pairs must be greater than or equal to 2. If number of non-null pairs is less than 2, FLCorrel returns a NULL.

Examples

connection <- flConnect(odbcSource="Gandalf")
deeptable <- FLTable("tblUSArrests", "ObsID","VarID","Num_Val")
widetable <- FLTable("tblAbaloneWide","ObsID")
cor(deeptable,deeptable)
cor(widetable,widetable)

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