fun.comparepower: Compare power of various one- and two-sample tests via...
In kolassa-dev/NonparametricHeuristic: Heuristic Tools for Nonparametric Statistics

fun.comparepower

R Documentation

Compare power of various one- and two-sample tests via simulation.

Description

Compare power of various one- and two-sample tests via simulation.

Usage

fun.comparepower(
  samp1sz = 10,
  samp2sz = NA,
  dist = "rnorm",
  ndim = 1,
  distb = NULL,
  level = 0.05,
  hypoth = 0,
  nsamp = 1000,
  alternative = "two.sided",
  altvalue = NULL,
  flip = F
)

Arguments

`samp1sz`	the size of the first sample.
`samp2sz`	the size of the second sample. Defaults to NA, triggering one-sample tests.
`dist`	vector of names of random number generators, determinating distributions to be compared. Defaults to just normal.
`ndim`	Dimension of distributions to be compared. Defaults to one.
`distb`	vector of names of random number generators for second sample. Defaults to distribution for the first sample.
`level`	level of tests.
`hypoth`	vector null hypothesis values. For uniform on [0,1] this should be taken as .5.
`nsamp`	Number of Monte Carlo samples.
`alternative`	alternative, of the form aceptable by t.test, z.test, binom.test, and wilcox.test. Defaults to "two.sided". Can be a vector.
`altvalue`	vector of alternative hypothesis values. Defaults to null value for calculation of actual test level.
`flip`	logical indicator to allow asymetric distributions to be flipped.

Details

Tests are given by fun.onesampletests or fun.twosampletests, as appropriate.

Value

A five-dimensional array of test levels (if altevalue equals hypoth) or power otherwise. Dimensions are test, distribution, alternative, alternative value, and first dimension sample size.