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This function uses ggplot to produce a themed Receiver Operator Curve and calculates a Gini coefficient based on it.
giniChart(pred, act)
Logit/scores/probabilities to be compared against actuals
This should be a column containing outcomes in a boolean form either as a factor or number
AUC roc giniCoef
AUC
roc
giniCoef
Other creditrisk: giniCoef(), logit.odd(), logit.prob(), odd.logit(), odd.prob(), prob.logit(), prob.odd(), scaledScore()
giniCoef()
logit.odd()
logit.prob()
odd.logit()
odd.prob()
prob.logit()
prob.odd()
scaledScore()
# NOT RUN { sampledata<- data.frame(val= rnorm(100) , outcome=rbinom(100,1,.8)) giniChart(sampledata$val,sampledata$outcome) # }
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