datasummary_correlation_format: Format the content of a correlation table

View source: R/datasummary_correlation.R

datasummary_correlation_formatR Documentation

Format the content of a correlation table

Description

Mostly for internal use, but can be useful when users supply a function to the method argument of datasummary_correlation.

Usage

datasummary_correlation_format(
  x,
  fmt,
  leading_zero = FALSE,
  diagonal = NULL,
  upper_triangle = NULL
)

Arguments

x

square numeric matrix

fmt

how to format numeric values: integer, user-supplied function, or modelsummary function.

  • Integer: Number of decimal digits

  • User-supplied functions:

    • Any function which accepts a numeric vector and returns a character vector of the same length.

  • modelsummary functions:

    • fmt = fmt_significant(2): Two significant digits (at the term-level)

    • fmt = fmt_sprintf("%.3f"): See ?sprintf

    • fmt = fmt_identity(): unformatted raw values

leading_zero

boolean. If FALSE, leading zeros are removed

diagonal

character or NULL. If character, all elements of the diagonal are replaced by the same character (e.g., "1").

upper_triangle

character or NULL. If character, all elements of the upper triangle are replaced by the same character (e.g., "" or ".").

Examples

library(modelsummary)

dat <- mtcars[, c("mpg", "hp", "disp")]

cor_fun <- function(x) {
  out <- cor(x, method = "kendall")
  datasummary_correlation_format(
    out,
    fmt = 2,
    upper_triangle = "x",
    diagonal = ".")
}

datasummary_correlation(dat, method = cor_fun)

modelsummary documentation built on Oct. 15, 2023, 5:06 p.m.