numScore: numScore

In bertamiro/lpattern: Detection of scatterplots with L-shaped pattern

Description

numScore A function to score scatterplot using a weight matrix.

Usage

numScore(aGrid, LShaped, aWeightMifL, aWeightMifNonL)

Arguments

aGrid	A matrix of counts as computed by 'calcFreqs' function
LShaped	A boolean value indicating if this scatterplot can be seen as LShaped.
aWeightMifL	A matrix of weights to score the previous counts if the scatterplot has been classified as L.
aWeightMifNonL	A matrix of weights to score the previous counts if the scatterplot has been classified as non-L

Details

The scoring does not incorporate logical conditions such as "if xij < C ..."

Examples

# xVecT <- as.numeric(trueLMet[1,]); yVecT<- as.numeric(trueLExpr[1,])
# xVecF <- as.numeric(falseLMet[1,]); yVecF <- as.numeric(falseLExpr[1,])
# trueFreq <- calcFreqs(xMet=xVecT, yExp=yVecT, x1=1/3, x2=2/3)
# falseFreq <- calcFreqs(xMet=xVecF, yExp=yVecF, x1=1/3, x2=2/3)
# weightsIfL    <- matrix (c(2,-1,-99,1,0,-1,1,1,2), nrow=3, byrow=TRUE)
# weightsIfNonL <- matrix (c(0,-1,-99,0,0,-1,0,0,0), nrow=3, byrow=TRUE)
# numScore (trueFreq, weights)

bertamiro/lpattern documentation built on July 19, 2019, 12:56 p.m.