Learn R Programming

pwr2 (version 1.0)

pwr.2way:

Description

Calculate power for two-way ANOVA models.

Usage

pwr.2way(a=a, b=b, alpha=alpha, size.A=size.A, size.B=size.B, f.A=NULL, f.B=NULL, 
delta.A=NULL, delta.B=NULL, sigma.A=NULL, sigma.B=NULL)

Arguments

a
Number of groups in Factor A
b
Number of groups in Factor B
alpha
Significant level (Type I error probability)
size.A
Sample size per group in Factor A
size.B
Sample size per group in Factor B
f.A
Effect size of Factor A
f.B
Effect size of Factor B
delta.A
The smallest difference among a groups in Factor A
delta.B
The smallest difference among b groups in Factor B
sigma.A
Standard deviation, i.e. square root of variance in Factor A
sigma.B
Standard deviation, i.e. square root of variance in Factor B

Value

Object of class "power.htest", a list of the arguments (including the computed one) augmented with "method" and "note" elements.

Details

If effect sizes f.A and f.B are known, plug them in to the function; If delta.A and sigma.A are known instead of f.A, put NULL to f.A. Similarly as delta.B and sigma.B.

References

Angela Dean & Daniel Voss (1999). Design and Analysis of Experiments. Springer.

Examples

Run this code
## Example 1
pwr.2way(a=3, b=3, alpha=0.05, size.A=4, size.B=5, f.A=0.8, f.B=0.4)

## Example 2
pwr.2way(a=3, b=3, alpha=0.05, size.A=4, size.B=5, delta.A=4, delta.B=2, sigma.A=2, sigma.B=2)
pwr.2way(a=3, b=3, alpha=0.05, size.A=4, size.B=5, f.A=NULL, f.B=NULL, 
delta.A=4, delta.B=2, sigma.A=2, sigma.B=2)

Run the code above in your browser using DataLab