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FFTrees (version 1.9.0)

fftrees_apply: Apply an FFT to data and generate accuracy statistics

Description

fftrees_apply applies a fast-and-frugal tree (FFT, as an FFTrees object) to a dataset (of type mydata) and generates corresponding accuracy statistics (on cue levels and for trees).

fftrees_apply is called internally by the main FFTrees function (with mydata = "train" and --- if test data exists --- mydata = "test"). Alternatively, fftrees_apply is called when predicting outcomes for new data by predict.FFTrees.

Usage

fftrees_apply(x, mydata = NULL, newdata = NULL, allNA.pred = FALSE)

Value

A modified FFTrees object (with lists in x$trees containing information on FFT decisions and statistics).

Arguments

x

An object with FFT definitions which are to be applied to current data (as an FFTrees object).

mydata

The type of data to which the FFT should be applied (as character, either "train" or "test").

newdata

New data to which an FFT should be applied (as a data frame).

allNA.pred

What should be predicted if all cue values in tree are NA (as logical)? Default: allNA.pred = FALSE.

See Also

FFTrees for creating FFTs from and applying them to data.