analyze.simstudy.chisq.test.gf {simitation}

analyze.simstudy.chisq.test.gf

Description

This function analyzes the results of a simulated chi-squared test of goodness of fit.

Usage

analyze.simstudy.chisq.test.gf(
  test.statistics.chisq.test.gf,
  conf.level = 0.95,
  the.quantiles = c(0.025, 0.1, 0.25, 0.5, 0.75, 0.9, 0.975)
)

Arguments

test.statistics.chisq.test.gf

A list containing summary information for fitting chi squared tests of goodness of fit. The structure is in the form returned by the function simitation::sim.chisq.test.gf().

conf.level

A numeric value between 0 and 1 representing the confidence level (1 - significance level). Default is 0.95.

the.quantiles

A numeric vector of values between 0 and 1. Summary statistics to analyze the tests will return the specified quantiles. Default values are c(0.025, 0.1, 0.25, 0.5, 0.75, 0.9, 0.975).

Value

A list containing the following elements:

• stat.summary: Summary statistics for the test statistics.

• p.value.summary: Proportions of tests that rejected and did not reject the null hypothesis.

Examples

 simdat.chisq.gf <- sim.chisq.gf(n = 100, values = LETTERS[1:4],
 prob = c(0.4, 0.3, 0.2, 0.1), num.experiments = 2, experiment.name =
  "experiment_id", value.name = "classification", seed = 31)
test.statistics.chisq.test.gf <- sim.chisq.test.gf(simdat.chisq.gf =
simdat.chisq.gf, hypothesized.probs = c(0.25, 0.3, 0.15, 0.3),
correct = FALSE, experiment.name = "experiment_id",
value.name = "classification")

analysis.chisq.gf <-
analyze.simstudy.chisq.test.gf(test.statistics.chisq.test.gf =
test.statistics.chisq.test.gf, conf.level = 0.95,
the.quantiles = c(0.25, 0.75))