CPFISH.power: CPFISH power

In qountstat: Statistical Analysis of Count Data and Quantal Data

CPFISH power

Description

The basic idea of CPFISH power calculations is to do parametric bootstrapping for each dose/concentration group and to evaluate the proportion of results significantly different from the control.

Usage

CPFISH.power(
  contingency.table,
  control.name = NULL,
  alpha = 0.05,
  bootstrap.runs = 200,
  simulate.p.value = TRUE,
  use.fixed.random.seed = NULL,
  show.progress = TRUE,
  show.results = TRUE
)

Arguments

contingency.table	Matrix with observed data (e.g. survival counts, survival must be in first row)
control.name	Character string with control group name (optional)
alpha	Significance level
bootstrap.runs	Number of bootstrap runs (draw Poisson data n times)
simulate.p.value	Use simulated p-values in Fisher test or not
use.fixed.random.seed	Use fixed seed, e.g. 123, for reproducible results. If NULL no seed is set.
show.progress	Show progress for each shift of the probability
show.results	Show results

Value

Data frame with results from power analysis

Examples

CPFISH.contingency.table	# example data provided alongside the package

# Test CPFISH power
CPFISH.power(contingency.table = CPFISH.contingency.table,
			control.name = NULL,
			alpha = 0.05,
			bootstrap.runs = 10,	# Caution: low number of bootstrap runs for testing
			simulate.p.value = TRUE,
			use.fixed.random.seed = 123,  #fixed seed for reproducible results
			show.progress = TRUE,
			show.results = TRUE)

qountstat documentation built on April 4, 2025, 12:18 a.m.