analyze.simstudy.prop {simitation} | R Documentation |
Analyze Simulated Proportion Tests
Description
This function analyzes the results of simulated tests for proportions, providing various summary statistics about the test statistics, estimates, and confidence intervals.
Usage
analyze.simstudy.prop(
test.statistics.prop,
alternative = c("two.sided", "less", "greater"),
conf.level = 0.95,
the.quantiles = c(0.025, 0.1, 0.25, 0.5, 0.75, 0.9, 0.975)
)
Arguments
test.statistics.prop |
A data frame or data.table containing the summary table of
estimated coefficients from repeated proportion tests. Expected structure is similar to the output
of |
alternative |
A character string specifying the alternative hypothesis. Must be one of "two.sided", "less", or "greater". Default is "two.sided". |
conf.level |
A numeric value between 0 and 1 representing the confidence level. Default is 0.95. |
the.quantiles |
A numeric vector of values between 0 and 1. The function will return the specified quantiles for summary statistics. |
Value
A list containing various summary statistics for the proportion test.
Examples
simdat.prop <- sim.prop(n = 30, p = 0.45,
num.experiments = 2, experiment.name = "simulation_id",
value.name = "success", seed = 104)
test.statistics.prop <- sim.prop.test(simdat.prop =
simdat.prop, p = 0.5, alternative = "two.sided",
conf.level = 0.99, correct = TRUE,
experiment.name = "simulation_id", value.name = "success")
analysis.prop <- analyze.simstudy.prop(test.statistics.prop =
test.statistics.prop, alternative = "two.sided", conf.level = 0.99,
the.quantiles = c(0.005, 0.995))