SES Calculation

Standardized effect size (SES), these are the effect sizes not considered SMDs.

ses_calc(x, ..., paired = FALSE, ses = "rb", alpha = 0.05)

# S3 method for default
ses_calc(
  x,
  y = NULL,
  paired = FALSE,
  ses = c("rb", "odds", "logodds", "cstat"),
  alpha = 0.05,
  mu = 0,
  ...
)

# S3 method for formula
ses_calc(formula, data, subset, na.action, ...)

Arguments

x

a (non-empty) numeric vector of data values.

...

further arguments to be passed to or from methods.

paired

a logical indicating whether you want a paired t-test.

ses

Standardized effect size. Default is "rb" for rank-biserial correlation. Options also include "cstat" for concordance probability, or "odds" for Wilcoxon-Mann-Whitney odds (otherwise known as Agresti's generalized odds ratio).

alpha

alpha level (default = 0.05)

y

an optional (non-empty) numeric vector of data values.

mu

number indicating the value around which (a-)symmetry (for one-sample or paired samples) or shift (for independent samples) is to be estimated. See stats::wilcox.test.

formula

a formula of the form lhs ~ rhs where lhs is a numeric variable giving the data values and rhs either 1 for a one-sample or paired test or a factor with two levels giving the corresponding groups. If lhs is of class "Pair" and rhs is 1, a paired test is done.

data

an optional matrix or data frame (or similar: see model.frame) containing the variables in the formula formula. By default the variables are taken from environment(formula).

subset

an optional vector specifying a subset of observations to be used.

na.action

a function which indicates what should happen when the data contain NAs. Defaults to getOption("na.action").

Value

A data frame containing the standardized effect size.

Details

For details on the calculations in this function see vignette("robustTOST").

See also

Other effect sizes: boot_ses_calc(), boot_smd_calc(), smd_calc()

Examples

if (FALSE) {
ses_calc(formula = extra ~ group, data = sleep, paired = TRUE, ses = "r")
}