SMD_matrix: Standardized mean differences

In Deleetdk/kirkegaard: kirkegaard

Standardized mean differences

Description

Calculate standardized mean differneces between all groups.

Usage

SMD_matrix(
  x,
  group,
  central_tendency = wtd_mean,
  dispersion = "sd",
  dispersion_method = "all",
  extended_output = F,
  CI = 0.95,
  str_template = "%d [%lower %upper]",
  digits = 2,
  reliability = 1,
  se_analytic = T,
  ...
)

Arguments

x	(numeric vector) A vector of values.
group	(vector) A vector of group memberships.
central_tendency	(function) A function to use for calculating the central tendency. Must support a parameter called na.rm. Ideal choices: mean, median.
dispersion	(character or numeric scalar) Either the name of the metric to use (sd or mad) or a value to use.
dispersion_method	(character scalar) If using one of the built in methods for dispersion, then a character indicating whether to use the pooled value from the total dataset (all), the pairwise comparison (pair), or the sd from the total dataset (total).
extended_output	(lgl) Whether to output a list of matrices. Useful for computational reuse.
CI	(num) Confidence interval coverage.
str_template	(chr) A string template to use.
reliability	(num) A reliability to use for correcting for measurement error. Done via adj_d_reliability().
se_analytic	(lgl) Use analytic standard errors. If not, then it will bootstrapping (slower). Always uses bootstrapping for non-mean functions.
...	(other arguments) Additional arguments to pass to the central tendency function.

Examples

SMD_matrix(iris$Sepal.Length, iris$Species)
SMD_matrix(iris$Sepal.Length, iris$Species, extended_output = T)
#pairwise SDs
SMD_matrix(iris$Sepal.Length, iris$Species, extended_output = T, dispersion_method = "pair")

Deleetdk/kirkegaard documentation built on Feb. 28, 2025, 5:04 p.m.