correlation: Calculate correlations for two or more variables

In radiant-rstats/radiant.basic: Basics Menu for Radiant: Business Analytics using R and Shiny

Calculate correlations for two or more variables

Description

Calculate correlations for two or more variables

Usage

correlation(
  dataset,
  vars = "",
  method = "pearson",
  hcor = FALSE,
  hcor_se = FALSE,
  data_filter = "",
  envir = parent.frame()
)

Arguments

dataset	Dataset
vars	Variables to include in the analysis. Default is all but character and factor variables with more than two unique values are removed
method	Type of correlations to calculate. Options are "pearson", "spearman", and "kendall". "pearson" is the default
hcor	Use polycor::hetcor to calculate the correlation matrix
hcor_se	Calculate standard errors when using polycor::hetcor
data_filter	Expression entered in, e.g., Data > View to filter the dataset in Radiant. The expression should be a string (e.g., "price > 10000")
envir	Environment to extract data from

Details

See https://radiant-rstats.github.io/docs/basics/correlation.html for an example in Radiant

Value

A list with all variables defined in the function as an object of class compare_means

See Also

summary.correlation to summarize results

plot.correlation to plot results

Examples

correlation(diamonds, c("price", "carat")) %>% str()
correlation(diamonds, "x:z") %>% str()

radiant-rstats/radiant.basic documentation built on Jan. 19, 2024, 12:07 p.m.