g3features: G features

In aproudian2/rapt: Atom Probe Tomography Analysis

G features

Description

Features calculated from G function (G3est).

Usage

g3features(rvals, gvals_new, gvals_old)

Arguments

rvals	vector of radius values
gvals_new	vector of new G3est values from which to subtract expected values
gvals_old	vector of expected G3est values

Details

Takes one set of radius values and corresponding G values of two functions as input and returns features for machine learning

Value

features to be used for machine learning prediction of clustering behavior. The features are the max difference between the functions (max_diff), the r value at that difference (max_diff_r), the minimum difference (min_diff), and the r value when the difference is 0 (zero_diff_r). Note that (zero_diff_r) must occur between the maximum and minimum difference

aproudian2/rapt documentation built on Dec. 15, 2022, 4:24 a.m.