simstudy.t {simitation}

simstudy.t

Description

simstudy.t

Usage

simstudy.t(
  n,
  mean = 0,
  sd = 1,
  num.experiments = 1,
  alternative = c("two.sided", "less", "greater"),
  mu = 0,
  conf.level = 0.95,
  the.quantiles = c(0.025, 0.1, 0.25, 0.5, 0.75, 0.9, 0.975),
  experiment.name = "experiment",
  value.name = "x",
  seed = 7261,
  vstr = 3.6
)

Arguments

n

A numeric value for the number of observations in each experiment.

mean

A numeric value for the expected value of the data to be simulated.

sd

A numeric value for the standard deviation of the data to be simulated.

num.experiments

A numeric value representing the number of simulated experiments.

alternative

See help(t.test).

mu

See help(t.test)

conf.level

See help(t.test)

the.quantiles

A numeric vector of values between 0 and 1. Summary statistics to analyze the tests will return the specified quantiles.

experiment.name

A character value providing the name for the column identifying the experiment.

value.name

A character value providing the name for the simulated values.

seed

A single numeric value, interpreted as an integer, or NULL. See help(set.seed).

vstr

A character string containing a version number, e.g., "1.6.2". The default RNG configuration of the current R version is used if vstr is greater than the current version. See help(set.seed).

Value

A list containing the following components:

• simdat.tA data frame of the simulated t-distributed data.

• test.statistics.tA data frame containing the results of the t-tests.

• sim.analysis.tA data frame containing the analysis of the simulated study for t-tests.

Examples

study.t <- simstudy.t(n = 25, mean = 0.3, sd = 1,
num.experiments = 2, alternative = "greater", mu = 0,
conf.level = 0.95, the.quantiles = c(0.025, 0.975),
experiment.name = "experiment",value.name = "x", seed = 817)