minimumN: Map effect size to minimum sample size
In loublanpain/BMI585FinalProjectLouBlanpain: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
Examples
Description
Given a power of 80%, calculates the minimum sample size required to uncover an assumed effect size or Cohen's d value.
Usage
1
minimumN(d)
Arguments
d
The assumed effect size (or Cohen's d).
Value
The minimum sample size required to show the assumed Cohen's d, with power of 0.80.
Examples
1
minimumN(0.6)
loublanpain/BMI585FinalProjectLouBlanpain documentation built on Dec. 21, 2021, 11:49 a.m.
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Description Usage Arguments Value Examples
Description
Given a power of 80%, calculates the minimum sample size required to uncover an assumed effect size or Cohen's d value.
Usage
1 | minimumN(d)
|
Arguments
d |
The assumed effect size (or Cohen's d). |
Value
The minimum sample size required to show the assumed Cohen's d, with power of 0.80.
Examples
1 | minimumN(0.6)
|
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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