postHocPower: Post-Hoc Power
In frankchien/bmi585flc: BMI 585 Final- Biostatistical Functions.
Description
Usage
Arguments
Details
Value
Examples
Description
Given an effect size d and two sample sizes n1 and n2, estimates Post-Hoc Power
Usage
1
postHocPower(d, n1, n2)
Arguments
d
effect size
n1
number of observations in first group
n2
number of observations in second group
Details
Uses Monte Carlo simulation approach to run 1000 t-tests against 2 generated samples of size n1 and n2 respectively.
The mean of the second normal distribution is centered at d to allow for the given effect size
Value
post hoc power estimate
Examples
1
postHocPower(1,12,12)
frankchien/bmi585flc documentation built on Dec. 20, 2021, 8:51 a.m.
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Description Usage Arguments Details Value Examples
Description
Given an effect size d and two sample sizes n1 and n2, estimates Post-Hoc Power
Usage
1 | postHocPower(d, n1, n2)
|
Arguments
d |
effect size |
n1 |
number of observations in first group |
n2 |
number of observations in second group |
Details
Uses Monte Carlo simulation approach to run 1000 t-tests against 2 generated samples of size n1 and n2 respectively. The mean of the second normal distribution is centered at d to allow for the given effect size
Value
post hoc power estimate
Examples
1 | postHocPower(1,12,12)
|
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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