pairwise_cor: Correlations of pairs of items

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

Correlations of pairs of items

Description

Find correlations of pairs of items in a column, based on a "feature" column that links them together. This is an example of the spread-operate-retidy pattern.

Usage

pairwise_cor(
  tbl,
  item,
  feature,
  value,
  method = c("pearson", "kendall", "spearman"),
  use = "everything",
  ...
)

pairwise_cor_(
  tbl,
  item,
  feature,
  value,
  method = c("pearson", "kendall", "spearman"),
  use = "everything",
  ...
)

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 column. If not given, defaults to all values being 1 (thus a binary correlation)
method	Correlation method
use	Character string specifying the behavior of correlations with missing values; passed on to cor
...	Extra arguments passed on to squarely, such as diag and upper

Examples

library(dplyr)
library(gapminder)

gapminder %>%
  pairwise_cor(country, year, lifeExp)

gapminder %>%
  pairwise_cor(country, year, lifeExp, sort = TRUE)

# United Nations voting data
if (require("unvotes", quietly = TRUE)) {
  country_cors <- un_votes %>%
    mutate(vote = as.numeric(vote)) %>%
    pairwise_cor(country, rcid, vote, sort = TRUE)
}

dgrtwo/widyr documentation built on Nov. 14, 2022, 4:07 a.m.