NCA (version 4.0.1)

nca_power: Function to evaluate power

Description

Function to evaluate power, test if a sample size is large enough to detect necessity.

Usage

nca_power(n = c(20, 50, 100), effect = 0.10, slope = 1, ceiling = "ce_fdh",
p = 0.05, distribution.x = "uniform", distribution.y = "uniform", rep = 100,
test.rep = 200)

Arguments

n

Number of datapoints to generate, either an integer or a vector of integers.

effect

Effect size of the generated datasets.

slope

Slope of the line.

ceiling

Ceiling technique to use for this analysis

p

Targeted confidence level

distribution.x

Distribution type(s) for X, "uniform" (default) or "normal".

distribution.y

Distribution type(s) for Y, "uniform" (default) or "normal".

rep

Number of analyses done per iteration.

test.rep

Number of resamples in the statistical approximate permutation test. For test.rep = 0 no statistical test is performed

Examples

# Simple example
if (FALSE) results <- nca_power()
results <- nca_power(rep=1, test.rep = 1)
print(results)