KefiR: KefiR Package

mm.test

R Documentation

Automatic mean/median comparison

Description

M.test() do all the possible tests of comparison of mean, even not mathematically corrects and even if hypothesis are wrong. Execute tests to verify hypothesis. The results are summarised in a graph. The user need to choose the good path, which is can be done automatically by m.test(). By default, find the path the 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 less (than maxcat) factors
`pval`	the usual level on confidence, 0.05 by default.
`verbose`	`FALSE` by defaul. Increase information.
`return`	to be completed
`paired`	FALSE by default, but can be passed to TRUE if each value of x in categories are paired and in the same order.
`pval_ks`	The p-value for repartitions 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 warning
`iter`	100 by default, number of iterations in the bootstrap.
`conf`	Confidence of the bootstrap, 0.95 by default.
`code`	if `TRUE`, return the code that makes the different tests. `FALSE` by default
`bootstrap`	`FALSE` by default, dont do bootstrap. `TRUE` to make `iter` sampling