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

In ACCLMA: ACC & LMA Graph Plotting

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

none

Author(s)

Tal Carmi, Liat Gaziel

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)
  }

Example output

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)
}

ACCLMA documentation built on May 2, 2019, 8:49 a.m.