Must be created for all subsequent plot function calls.
makeRBPObj(pred, y, positive = NULL)Object members:
n [numeric(1)]Number of observations.
pred [numeric(n)]Predicted probabilities.
y [numeric(n)]Target variable having the values 0 and 1.
positive [character(1)]Positive class label of traget variable. Only present when y is a factor.
e0 [numeric(1)]Average of the predicted probabilities conditional on y=0.
e1 [numeric(1)]Average of the predicted probabilities conditional on y=1.
pev [numeric(1)]Proportion of explained variation measure. Computed as e1-e0.
tpr [numeric(1)]True positive rate.
fpr [numeric(1)]False positive rate.
prev [numeric(1)]Prevalence.
one.min.prev [numeric(1)]One minus the value of the prevalence.
axis.x [numeric(n)]Values for the X-Axis of the RBP curve.
axis.y [numeric(n)]Values for the Y-Axis of the RBP curve.
[numeric]
Predicted probabilities for each observation.
[numeric | factor]
Class labels of the target variable.
Either a numeric vector with values 0 or 1, or a factor with two levels.
[character(1)]
Set positive class label for target variable which is transformed as 1 to compute.
Only needed when y is a "factor".