| ss.1way {pwr2} | R Documentation |
Sample size calculation for balanced one-way ANOVA models
Description
Calculate sample size for one-way ANOVA models.
Usage
ss.1way(k=k, alpha=alpha, beta=beta, f=NULL, delta=delta, sigma=sigma, B=B)
Arguments
k |
Number of groups |
alpha |
Significant level (Type I error probability) |
beta |
Type II error probability (Power=1-beta) |
f |
Effect size |
delta |
The smallest difference among k group |
sigma |
Standard deviation, i.e. square root of variance |
B |
Iteration times, default number is 100 |
Details
Beta is the type II error probability which equals 1-power. For example, if the target power is 85% (=0.85), the corresponding beta equals 0.15. If effect size f is known, plug it in to the function; If delta and sigma are known instead of effect size, put NULL to f, or just miss f argument.
Value
Object of class "power.htest", a list of the arguments (including the computed one) augmented with "method" and "note" elements.
Author(s)
Pengcheng Lu, Junhao Liu, and Devin Koestler.
References
Angela Dean & Daniel Voss (1999). Design and Analysis of Experiments. Springer.
Examples
## Example 1
ss.1way(k=5, alpha=0.05, beta=0.1, f=1.5, B=100)
## Example 2
ss.1way(k=5, alpha=0.05, beta=0.1, delta=1.5, sigma=1, B=100)
ss.1way(k=5, alpha=0.05, beta=0.1, f=NULL, delta=1.5, sigma=1, B=100)