pairwise_dist: Distances of pairs of items

In widyr: Widen, Process, then Re-Tidy Data

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)

widyr documentation built on April 14, 2020, 6:16 p.m.