widyr (version 0.1.2)

pairwise_cor: 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

# NOT RUN {
library(dplyr)
library(gapminder)

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

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

# United Nations voting data
library(unvotes)

country_cors <- un_votes %>%
  mutate(vote = as.numeric(vote)) %>%
  pairwise_cor(country, rcid, vote, sort = TRUE)

country_cors

# }

Run the code above in your browser using DataCamp Workspace