
Mostly for internal use, but can be useful when users supply a function to
the method
argument of datasummary_correlation
.
datasummary_correlation_format(
x,
fmt,
leading_zero = FALSE,
diagonal = NULL,
upper_triangle = NULL,
stars = FALSE
)
square numeric matrix
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
boolean. If FALSE
, leading zeros are removed
character or NULL. If character, all elements of the diagonal are replaced by the same character (e.g., "1").
character or NULL. If character, all elements of the upper triangle are replaced by the same character (e.g., "" or ".").
to indicate statistical significance
FALSE (default): no significance stars.
TRUE: c("+" = .1, "*" = .05, "**" = .01, "***" = 0.001)
Named numeric vector for custom stars such as c('*' = .1, '+' = .05)
Note: a legend will not be inserted at the bottom of the table when the estimate
or statistic
arguments use "glue strings" with {stars}
.
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)
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