widyr (version 0.1.5)

pairwise_dist: Distances of pairs of items

Description

Compute distances of all pairs of items in a tidy table.

Usage

pairwise_dist(tbl, item, feature, value, method = "euclidean", ...)
pairwise_dist_(tbl, item, feature, value, method = "euclidean", ...)

Arguments

tbl

Table

item

Item to compare; will end up in item1 and item2 columns

feature

Column describing the feature that links one item to others

value

Value

method

Distance measure to be used; see dist()

...

Extra arguments passed on to squarely(), such as diag and upper

See Also

squarely()

Examples

library(gapminder)
library(dplyr)

# closest countries in terms of life expectancy over time
closest <- gapminder %>%
  pairwise_dist(country, year, lifeExp) %>%
  arrange(distance)

closest

closest %>%
  filter(item1 == "United States")

# to remove duplicates, use upper = FALSE
gapminder %>%
  pairwise_dist(country, year, lifeExp, upper = FALSE) %>%
  arrange(distance)

# Can also use Manhattan distance
gapminder %>%
  pairwise_dist(country, year, lifeExp, method = "manhattan", upper = FALSE) %>%
  arrange(distance)