Add_Stats

dataframe. With named (integer) columns hi, cr, mi, fa

data

sens.w

numeric. An optional fixed cost added to all outputs (e.g.; the cost of the cue)

cost.each

list. A list of length 4 with names 'hi', 'fa', 'mi', and 'cr' specifying the costs of a hit, false alarm, miss, and correct rejection rspectively. E.g.; <code>cost.outcomes = listc("hi" = 0, "fa" = 10, "mi" = 20, "cr" = 0)</code> means that a false alarm and miss cost 10 and 20 respectively while correct decisions have no cost.

cost.outcomes

Adds decision statistics to a dataframe containing hr, cr, mi and fa

Create, visualize, and test fast-and-frugal decision trees (FFTs). FFTs are very simple decision trees for
binary classification problems. FFTs can be preferable to more complex algorithms because they are easy to communicate, require very little information, and are
robust against overfitting.

Add_Stats: Adds decision statistics to a dataframe containing hr, cr, mi and fa

Description

Usage

Arguments