dist_by_closeness: Distance by closeness

Description Usage Arguments Details Value Author(s) Examples

Description

Distance by closeness

Usage

1

Arguments

mat

a numeric matrix where the distance is calculated by rows

Details

For two rows in the matrix, assume x_1, x_2, ..., x_n1 are the column index of none-zero values in row 1 and y_1, y_2, ... y_n2 are the column index for non-zero values in row 2, the distance between the two rows based on the closeness is calculated as:

d_closeness = sum_i sum_j(|x_i - y_j|) / (n_1*n_2)

Value

A dist object

Author(s)

Zuguang Gu <z.gu@dkfz.de>

Examples

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x1 = c(0, 0, 0, 0, 1, 1, 1, 0, 0, 0)
x2 = c(0, 0, 0, 1, 1, 1, 0, 0, 0, 0)
x3 = c(1, 0, 0, 0, 1, 1, 0, 0, 0, 0)
m = rbind(x1, x2, x3)
dist(m)
dist_by_closeness(m)

eilslabs/EnrichedHeatmap documentation built on May 16, 2019, 1:22 a.m.