dist_extract: Matrix style extraction from dist object

In disto: Unified Interface to Distance, Dissimilarity, Similarity Matrices

Description

Matrix style extraction supports 'inner' and 'outer'(default) products

Usage

dist_extract(object, i, j, k, product = "outer")

Arguments

object	dist object
i	(integer vector) row positions
j	(integer vector) column positions
k	(integer vector) positions
product	(string) One among: 'inner', 'outer'(default)

Details

In k-mode, both i and j should be missing and k should not be missing. In ij-mode, k should be missing and both i and j are optional. If i or j are missing, they are interpreted as all values of i or j (similar to matrix or dataframe subsetting). If i and j are of unequal length, the smaller one is recycled.

Value

A matrix or vector of distances when product is 'outer' and 'inner' respectively

Examples

# examples for dist_extract

# create a dist object
temp <- dist(iris[,1:4])
attr(temp, "Labels") <- outer(letters, letters, paste0)[1:150]
head(temp)
max(temp)
as.matrix(temp)[1:5, 1:5]


dist_extract(temp, 1, 1)
dist_extract(temp, 1, 2)
dist_extract(temp, 2, 1)
dist_extract(temp, "aa", "ba")

dist_extract(temp, 1:10, 11:20)
dim(dist_extract(temp, 1:10, ))
dim(dist_extract(temp, , 1:10))
dist_extract(temp, 1:10, 11:20, product = "inner")
length(dist_extract(temp, 1:10, , product = "inner"))
length(dist_extract(temp, , 1:10, product = "inner"))

dist_extract(temp, c("aa", "ba", "ca"), c("ca", "da", "fa"))
dist_extract(temp, c("aa", "ba", "ca"), c("ca", "da", "fa"), product = "inner")

dist_extract(temp, k = 1:3) # product is always inner when k is specified

disto documentation built on May 2, 2019, 4:06 p.m.