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FFTrees

A package to create and visualize fast and frugal decision trees (FFTrees)

Package updates

1.1.4

  • Bug-fixes
    • Plotting no longer fails when there is only one branch in the tree.
    • Changed which.tree argument in plot.FFTrees() to tree to conform to blog posts.
    • predict.FFTrees() now works better with tibble inputs.
  • Changed the fft label to FFTrees throughout the package to avoid confusion with fast fourier transform. Thus, the main tree building function is now FFTrees() and the new tree object class is FFTrees

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Version

Install

install.packages('FFTrees')

Monthly Downloads

373

Version

1.1.4

License

CC0

Maintainer

Nathaniel Phillips

Last Published

August 23rd, 2016

Functions in FFTrees (1.1.4)

car

Car acceptability data
blood

Blood donation dataset
auc

Calculates AUC (Area under the Curve) using trapezoidal approximation
breastcancer

Dataset: Physiological dataset for 699 patients tested for breast cancer.
fft

Deprecated functions
income

Income dataset
grow.FFTrees

Grows fast and frugal trees
fertility

Fertility data set
FFTrees.guide

Opens the FFTrees package guide
iris

Iris data set
FFTrees

Create Fast and Frugal Trees (FFTrees)
forestfires

forestfires
heartdisease

Heart disease dataset
factclean

Does miscellaneous cleaning of prediction datasets
print.FFTrees

Prints summary information from an FFTrees object
plot.FFTrees

Draws a FFTrees object.
summary.FFTrees

Returns a summary of an fft object
titanic

Titanic dataset
lr.pred

Calculates predictions from logistic regression
mushrooms

Mushrooms dataset
predict.FFTrees

Applies an existing FFTrees object to a new dataset
transparent

Makes transparent colors
sonar

Sonar data set
showcues

Visualizes cue accuracies in a ROC space
wine

Wine tasting dataset
voting

Voting data set
cuerank

Calculate the accuracy of all cues in a dataframe
creditapproval

Credit approval data
cart.pred

Calculates predictions from CART using the rpart package
contraceptive

Contraceptive use data
classtable

Calculates several classification statistics from binary prediction and criterion (e.g.; truth) vectors
bank

A bank marketing dataset