ACCLMA (version 1.0)

plotGraphs: Plots the ACC vs LOI graph and the LMA graph

Description

This function receives a matrix containing the X,Y,Weight,FX,FY,LOI,LMA columns after the calcWeights and the reduceSameXs function has been used on it and plots the appropriate ACC vs LOI graph and the LMA graph, each in a seperate window

Usage

plotGraphs(mat)

Arguments

mat

A matrix containing the X,Y,Weight,FX,FY,LOI,LMA columns after the calcWeights and the reduceSameXs function has been used on it

Value

Details

References

See Also

Examples

d <- c(1,1,3,4)
e <- c(5,6,7,8)
f <- c(1,1,1,1)
mydata <- data.frame(d,e,f)
names(mydata) <- c("X","Y","Weight")
mydata<-calcWeights(mydata)
mydata<-averageSameXs(mydata)
mydata<-calcFX(mydata)
mydata<-calcFY(mydata)
mydata<-calcLOI(mydata)
mydata<-calcLMA(mydata)
plotGraphs(mydata)

## The function is currently defined as
function (mat) 
{
    mat[size(mat) + 1, 4] = 0
    mat[size(mat) + 1, 5] = 0
    mat[size(mat) + 1, 6] = 0
    mat[size(mat) + 1, 7] = 0
    mat <- mat[order(mat[4]), ]
    trans <- t(mat)
    originalPar <- par(no.readonly = TRUE)
    par(lwd = 2)
    par(col = "black")
    plot(trans[4, ], trans[5, ], type = "n", main = "ACC", xlab = "F(x)", 
        ylab = "Accumulating Y Mean")
    par(col = "blue")
    lines(trans[4, ], trans[5, ], type = "l")
    par(col = "red")
    lines(trans[4, ], trans[6, ], type = "l")
    legend("bottomright", c("ACC", "LOE"), col = c("blue", "red"), 
        lwd = 2, bty = "n", text.col = "black")
    par(originalPar)
    windows()
    par(lwd = 2)
    par(col = "black")
    par(xaxs = "i")
    plot(trans[4, ], trans[7, ], type = "n", main = "LMA", xlab = "F(x)", 
        ylab = "LOE minus ACC")
    par(col = "black", lwd = 1)
    lines(c(0, 1), c(0, 0), type = "l")
    par(col = "blue", lwd = 2)
    lines(trans[4, ], trans[7, ], type = "l")
    par(originalPar)
  }