control_analyze_vars: Control function for descriptive statistics
In tern: Create Common TLGs Used in Clinical Trials

control_analyze_vars

R Documentation

Control function for descriptive statistics

Description

Sets a list of parameters for summaries of descriptive statistics. Typically used internally to specify details for s_summary(). This function family is mainly used by analyze_vars().

Usage

control_analyze_vars(
  conf_level = 0.95,
  quantiles = c(0.25, 0.75),
  quantile_type = 2,
  test_mean = 0
)

Arguments

`conf_level`	(`proportion`) confidence level of the interval.
`quantiles`	(`numeric(2)`) vector of length two to specify the quantiles to calculate.
`quantile_type`	(`numeric(1)`) number between 1 and 9 selecting quantile algorithms to be used. Default is set to 2 as this matches the default quantile algorithm in SAS `⁠proc univariate⁠` set by `QNTLDEF=5`. This differs from R's default. See more about `type` in `stats::quantile()`.
`test_mean`	(`numeric(1)`) number to test against the mean under the null hypothesis when calculating p-value.