Generate, Visualise, and Compare Fast and Frugal Decision Trees

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Documentation for package ‘FFTrees’ version 1.2.2

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apply.tree Applies a fast and frugal tree to a dataset.
auc Calculates AUC (Area under the Curve) using trapezoidal approximation
bank A bank marketing dataset
blood Blood donation dataset
breastcancer Dataset: Physiological dataset for 699 patients tested for breast cancer.
car Car acceptability data
classtable Calculates several classification statistics from binary prediction and criterion (e.g.; truth) vectors
comp.pred Wrapper for classfication algorithms
contraceptive Contraceptive use data
creditapproval Credit approval data
cuerank Calculate the marginal accuracy of all cues in a dataframe. For each cue, the threshold that maximizes the criterion is selected.
factclean Does miscellaneous cleaning of prediction datasets
fertility Fertility data set
FFForest Creates a forest of fast and frugal decision trees
FFTrees Creates a Fast and Frugal Trees (FFTrees) object.
FFTrees.guide Opens the FFTrees package guide
forestfires forestfires
grow.FFTrees Grows fast and frugal trees using an algorithm specified by 'algorithm'.
heartdisease Heart disease dataset
income Income dataset
iris.v Iris data set
mushrooms Mushrooms dataset
plot.FFForest Creates a network plot. Code taken from Dirk Wulff (www.dirkwulff.org)
plot.FFTrees Draws a FFTrees object.
predict.FFForest Predict outcoms from a test dataset using an FFForest object
predict.FFTrees Predict new data from an FFTrees x
print.FFForest Prints summary information from an FFForest x
print.FFTrees Prints summary information from an FFTrees x
showcues Visualizes cue accuracies from an FFTrees object in a ROC space
sonar Sonar data set
summary.FFTrees Returns a summary of an fft object
titanic Titanic dataset
voting Voting data set
wine Wine tasting dataset