Nothing
######################################################################
# Plot Qini Curve
######################################################################
plot.PerformanceUplift <- function(x, ...){
# Plots the Qini curve.
#
# Args:
# x: a table that must be the output of PerformanceUplift() function.
#
# Returns:
# The Qini curve.
if (!inherits(x, "PerformanceUplift"))
stop("tools4uplift: object not of class PerformanceUplift")
cGrey <- rgb(128, 128, 131, 255, maxColorValue = 255)
nb <- length(x$cum_per)
plot(c(0, x$T_n)/x$T_n[nb]*100, c(0, x$inc_uplift),
xlab='Proportion of Population Targeted (%)',
ylab='Incremental Uplift (%)',
...)
lines(c(0,100), c(0, x$inc_uplift[nb]), col=cGrey, type="b", lwd=1.5)
return(QiniArea(x))
}
lines.PerformanceUplift <- function(x, ...){
# Adds an extra Qini curve on an existing Qini curves plot.
#
# Args:
# x: a table that must be the output of PerformanceUplift() function.
#
# Returns:
# The Qini curve.
if (!inherits(x, "PerformanceUplift"))
stop("tools4uplift: object not of class PerformanceUplift")
nb <- length(x$cum_per)
lines(c(0, x$T_n)/x$T_n[nb]*100, c(0, x$inc_uplift), ...)
return(QiniArea(x))
}
# END FUN
######################################################################
# Plot Uplift Barplot
######################################################################
barplot.PerformanceUplift <- function(height, ...){
# Plots the Qini barplot.
#
# Args:
# height: a table that must be the output of PerformanceUplift() function.
#
# Returns:
# The Qini barplot.
x <- height
if (!inherits(x, "PerformanceUplift"))
stop("tools4uplift: object not of class PerformanceUplift")
barplot(x$uplift,
names.arg = round(x$cum_per*100),
xlab='Proportion of Population Targeted (%)',
ylab='Uplift (%)',
...)
abline(h = 0)
#Compute the Kendall's uplift rank correlation
#Raise a warning if there are missing values in x
x_for_rho <- cbind(x$cum_per, x$uplift)
complete_x_for_rho <- x_for_rho[complete.cases(x_for_rho),]
if (nrow(x_for_rho) > nrow(complete_x_for_rho)){
warning("tools4uplift: there are missing values in your PerformanceUplift object. They will be omitted in the computation of the Kendall's rank correlation.")
}
kendall_uplift <- cor(seq(nrow(complete_x_for_rho),1), complete_x_for_rho[,2], method="kendall")
return(kendall_uplift)
}
# END FUN
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