Functions to calculate standard errors of different statistics.
The availability of a standard error (or statistic proportional to it) allows to
apply "stud" (bootstrap t) bootstrap.
Usage
se_mean(z, na.rm = TRUE, ...)
se_mean_diff(z, y, na.rm = TRUE, var.equal = FALSE, ...)
se_var(z, na.rm = TRUE, ...)
se_proportion(z, na.rm = TRUE, ...)
Value
A numeric vector of length one.
Arguments
z
Numeric vector.
na.rm
Should missing values be removed before calculation? Default is TRUE.
...
Further arguments to be passed from other methods.
y
Numeric vector.
var.equal
Should the variances be treated as being equal? Default is FALSE.