calc_mv_dist: Compute Mahalanobis distances between all pairs of...

In mulgar: Functions for Pre-Processing Data for Multivariate Data Visualisation using Tours

Compute Mahalanobis distances between all pairs of observations

Description

For a data matrix, compute the sample variance-covariance, which is used to compute the Mahalanobis distance.

Usage

calc_mv_dist(x)

Arguments

x	multivariate data set

Details

This is useful for checking distance arise from a multivariate normal sample.

Value

vector of length n

Examples

require(ggplot2)
require(tibble)
data(aflw)
aflw_std <- apply(aflw[,7:35], 2, function(x)
                    (x-mean(x, na.rm=TRUE))/
							       sd(x, na.rm=TRUE))
d <- calc_mv_dist(aflw_std[,c("goals","behinds",
                               "kicks","disposals")])
d <- as_tibble(d, .name_repair="minimal")
ggplot(d, aes(x=value)) + geom_histogram()

mulgar documentation built on April 12, 2025, 1:23 a.m.