WINratio: Comparison for groups in clinical trials based on all...

In wrappedtools: Useful Wrappers Around Commonly Used Functions

Comparison for groups in clinical trials based on all possible combinations of subjects

Description

WINratio computes the ratio of wins and losses for any number of comparison rules.

Usage

WINratio(data, groupvar, testvars, rules, idvar = NULL, p_digits = 3)

Arguments

data	name of data set (tibble/data.frame) to analyze.
groupvar	name of grouping variable, has to translate to 2 groups.
testvars	names of variables for sequential rules.
rules	list of rules (minimal cut-offs) for sequential comparison, negative if reduction is success, positive if increase is beneficial, must not be 0.
idvar	name of identifier variable. If NULL, rownumber is used.
p_digits	level for rounding p-value.

Value

A list with elements:

WINratio=vector with WINratio and CIs,

WINodds=odds ratio of wins and losses, taking ties into account,

p.value=p.value from prop.test,

WINratioCI=character with merged WINratio, CI, and p

testdata= tibble with testdata from cross-join.

wrappedtools documentation built on Oct. 10, 2024, 5:07 p.m.