mm.test: Automatic mean/median comparison

In Antoine-Masse/KefiR: KefiR Package

Automatic mean/median comparison

Description

mm.test() performs all possible mean comparison tests, even if not mathematically correct and even if hypotheses are wrong. It executes tests to verify hypotheses, and the results are summarized in a graph. The user needs to choose the correct path, which can be done automatically by m.test(). By default, it finds the path that is more to the left.

Usage

mm.test(
  x,
  group,
  pval = 0.05,
  verbose = FALSE,
  return = TRUE,
  paired = FALSE,
  pval_ks = 0.01,
  maxcat = 50,
  plot = TRUE,
  silent = TRUE,
  boot = FALSE,
  iter = 100,
  conf = 0.95,
  code = FALSE,
  debug. = FALSE
)

Arguments

x	The values: a vector of values, with the samples to be compared.
group	Categories: a vector of factors with fewer than maxcat categories.
pval	The usual confidence level, 0.05 by default.
verbose	FALSE by default. Increase information.
return	Logical. Should the results be returned? Default is TRUE.
paired	FALSE by default, but can be set to TRUE if each value of x in categories are paired and in the same order.
pval_ks	The p-value for distribution tests like Kolmogorov-Smirnov or Shapiro: 0.01 by default.
maxcat	The maximum number of categories: 50 by default.
plot	TRUE to plot the graph with all the results.
silent	TRUE to keep the function silent: no warnings.
boot	FALSE by default. If TRUE, perform bootstrap sampling with iter iterations.
iter	Number of iterations in the bootstrap, 100 by default.
conf	Confidence level of the bootstrap, 0.95 by default.
code	If TRUE, return the code that performs the different tests. FALSE by default.
debug.	FALSE by default. If TRUE, print debugging information.

Value

A list containing the results of the tests.

Author(s)

Julien BOUSQUET (2021)

Examples

# Example 1
data(iris)
#mm.test(iris$Sepal.Length, iris$Species)

Antoine-Masse/KefiR documentation built on July 4, 2024, 11:40 a.m.