simlr_feature_orth: Compute the Average Invariant Orthogonality Defect for...

In stnava/ANTsR: ANTs in R: Quantification Tools for Biomedical Images

Compute the Average Invariant Orthogonality Defect for Multiple Features

Description

This function calculates the average invariant orthogonality defect for a list of features, using the 'invariant_orthogonality_defect' function. The orthogonality defect measures the deviation of feature vectors from orthogonality.

Usage

simlr_feature_orth(p)

Arguments

p	A list of matrices (or data frames), each representing a set of feature vectors.

Details

The function iterates over each matrix in the list 'p' and applies the 'invariant_orthogonality_defect' function to calculate the orthogonality defect for each matrix. The final result is the average orthogonality defect across all matrices.

Value

A numeric value representing the average invariant orthogonality defect across all the provided feature matrices.

Examples

# Example data: Two sets of feature matrices
feature1 <- matrix(c(1, 2, 3, 4, 5, 6), nrow = 2)
feature2 <- matrix(c(7, 8, 9, 10, 11, 12), nrow = 2)
feature_list <- list(feature1, feature2)

# Calculate the average orthogonality defect
avg_orthogonality_defect <- simlr_feature_orth(feature_list)
print(avg_orthogonality_defect)

stnava/ANTsR documentation built on April 13, 2025, 4:10 a.m.