pairwise_hamming: Pairwise Hamming/Manhattan Distance

In ttrodrigz/onezero: Analysis tools for binary (0/1) data

Pairwise Hamming/Manhattan Distance

Description

Calculates the pairwise Hamming/Manhattan distance (these are equivalent with binary/dichotomous data). The normalized verision is equivalent to the probability of union.

Usage

pairwise_hamming(data, cols, case_weights, norm = FALSE)

pairwise_manhattan(data, cols, case_weights, norm = FALSE)

pairwise_discordant(data, cols, case_weights, norm = FALSE)

Arguments

data	A data frame.
cols	Columns to analyze.
case_weights	An optional column of case weights.
norm	Whether or not to normalize the distance, default is FALSE.

Details

• Metric: Distance

• Symmetrical: Yes

• Upper Limit: Inf (1 when normalized)

• Lower Limit: 0

		B
		1	0
A	1	a	b
	0	c	d

Hamming = b+c
Normalized = (b+c)/N

Value

A matrix.

Examples

res <- pairwise_hamming(
    data = FoodSample,
    cols = Bisque:Turkey
)

print(res)

tidy(res)

ttrodrigz/onezero documentation built on May 9, 2023, 2:59 p.m.