sim_model: Simulate a Model and Extract if p < alpha
In markhwhiteii/twipc: Intuitive Simulation-Based Two-Way Interaction Power Calculation
Description
Usage
Arguments
Value
Description
Simulate a Model and Extract if p < alpha
Usage
1
sim_model(n, a1b1, a1b2, a2b1, a2b2, alpha)
Arguments
n
Sample size
a1b1
Mean in cell A1, B1
a1b2
Mean in cell A1, B2
a2b1
Mean in cell A2, B1
a2b2
Mean in cell A2, B2
alpha
Alpha level
Value
Logical indicating TRUE for less than alpha, FALSE otherwise
markhwhiteii/twipc documentation built on Nov. 4, 2019, 5:25 p.m.
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Description Usage Arguments Value
Description
Simulate a Model and Extract if p < alpha
Usage
1 | sim_model(n, a1b1, a1b2, a2b1, a2b2, alpha)
|
Arguments
n |
Sample size |
a1b1 |
Mean in cell A1, B1 |
a1b2 |
Mean in cell A1, B2 |
a2b1 |
Mean in cell A2, B1 |
a2b2 |
Mean in cell A2, B2 |
alpha |
Alpha level |
Value
Logical indicating TRUE for less than alpha, FALSE otherwise
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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