`ses_calc.Rd`

```
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, ...)
```

- 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").

A data frame containing the standardized effect size.

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

.

Other effect sizes:
`boot_ses_calc()`

,
`boot_smd_calc()`

,
`smd_calc()`

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