All functions

FFTrees()

Main function to create and apply fast-and-frugal trees (FFTs)

FFTrees.guide()

Open the FFTrees package guide

add_fft_df()

Add an FFT definition to tree definitions

add_nodes()

Add nodes to an FFT definition

add_stats()

Add decision statistics to data (based on frequency counts of a 2x2 matrix of classification outcomes)

blood

Blood donation data

breastcancer

Breast cancer data

car

Car acceptability data

classtable()

Compute classification statistics for binary prediction and criterion (e.g.; truth) vectors

contraceptive

Contraceptive use data

creditapproval

Credit approval data

describe_data()

Describe data

drop_nodes()

Drop a node from an FFT definition

edit_nodes()

Edit nodes in an FFT definition

fact_clean()

Clean factor variables in prediction data

fertility

Fertility data

fftrees_cuerank()

Calculate thresholds that optimize some statistic (goal) for cues in data

fftrees_ffttowords()

Describe a fast-and-frugal tree (FFT) in words

fftrees_grow_fan()

Grow fast-and-frugal trees (FFTs) using the fan algorithms

fftrees_ranktrees()

Rank FFTs by current goal

fftrees_threshold_factor_grid()

Perform a grid search over factor and return accuracy statistics for a given factor cue

fftrees_threshold_numeric_grid()

Perform a grid search over thresholds and return accuracy statistics for a given numeric cue

fftrees_wordstofftrees()

Convert a verbal description of an FFT into an FFTrees object

flip_exits()

Flip exits in an FFT definition

forestfires

Forest fires data

get_best_tree()

Select the best tree (from current set of FFTs)

get_exit_type()

Get exit type (from a vector x of FFT exit descriptions)

get_fft_df()

Get FFT definitions (from an FFTrees object x)

heart.cost

Cue costs for the heartdisease data

heart.test

Heart disease testing data

heart.train

Heart disease training data

heartdisease

Heart disease data

inwords()

Provide a verbal description of an FFT

iris.v

Iris data

mushrooms

Mushrooms data

plot(<FFTrees>)

Plot an FFTrees object

predict(<FFTrees>)

Predict classification outcomes or probabilities from data

print(<FFTrees>)

Print basic information of fast-and-frugal trees (FFTs)

read_fft_df()

Read an FFT definition from tree definitions

reorder_nodes()

Reorder nodes in an FFT definition

select_nodes()

Select nodes from an FFT definition

showcues()

Visualize cue accuracies (as points in ROC space)

sonar

Sonar data

summary(<FFTrees>)

Summarize an FFTrees object

titanic

Titanic survival data

voting

Voting data

wine

Wine tasting data

write_fft_df()

Write an FFT definition to tree definitions