minimumN: Minimum N
In frankchien/bmi585flc: BMI 585 Final- Biostatistical Functions.
Description
Usage
Arguments
Details
Value
Examples
Description
Computes the minimum number of samples n per group to resolve a specified effect size d with 80% power
Usage
1
minimumN(d)
Arguments
d
a desired effect size / Cohen's D
Details
uses power.t.test to compute minimum sample sizes n. Passes 0.8 to power.t.test to compute sample size for 80% power
Assumes discrete number of observations, and so the ceiling of the output is returned.
Value
minimum number of samples needed to resolve effect size d rounded up to nearest whole number
Examples
1
minimumN(0.5)
frankchien/bmi585flc documentation built on Dec. 20, 2021, 8:51 a.m.
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Description Usage Arguments Details Value Examples
Description
Computes the minimum number of samples n per group to resolve a specified effect size d with 80% power
Usage
1 | minimumN(d)
|
Arguments
d |
a desired effect size / Cohen's D |
Details
uses power.t.test to compute minimum sample sizes n. Passes 0.8 to power.t.test to compute sample size for 80% power Assumes discrete number of observations, and so the ceiling of the output is returned.
Value
minimum number of samples needed to resolve effect size d rounded up to nearest whole number
Examples
1 | minimumN(0.5)
|
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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