Generates two normal independent samples. It also provides Cohen's effect and T-Test.
Usage
sample2indp(n , mean = 0, sigma = 1, coefvar = NULL,
alternative = c("two.sided", "less", "greater"), delta = 0,
conf.level = 0.95, dec = 2)
Value
A list containing the following components:
Data: a data frame containing the samples created.
T.Test: a t-test of the samples.
Power: power of the test.
Arguments
n
vector of size of samples.
mean
vector of means.
sigma
vector of standard deviations.
coefvar
an optional vector of coefficients of variation.
alternative
a character string specifying the alternative hypothesis for T-Test. meanst be one of ``two.sided`` (default), ``greater`` or ``less``. Can be specified just the initial letter.
delta
true value of the difference in means.
conf.level
confidence level of the interval. It determines level of significance for comparing variances.
dec
number of decimals for observations.
Details
If mean or sigma are not specified it's assumed the default values of 0 and 1.
n is a vector, so it's possible to generate samples with same or different sizes.
If coefvar is given, sigma is omitted. Vector of means cannot have any 0.