estimateSampleSize: Sample size estimate
In DataScienceSalon/chronic: Clinical Depression: Prevalence, SocioDemographic, Chronic Disease Comorbidity, and Costs
Description
Usage
Arguments
Details
Value
Author(s)
Description
estimateSampleSize(effect, sigLevel, powerLevel)
Usage
1
estimateSampleSize(effect = 0.1, sigLevel = 0.05, powerLevel = 0.8)
Arguments
effect
Numeric variable indicating effect size to discern
sigLevel
Numeric variable indicating the level of significance
powerLevel
Numeric indicator of the power level
Details
Function to compute minimum sample size required for
Variable and partial response rates may affect sample size. To ensure that
readers could rely upon non-significant results, this analyst conducted several
power analyses using the pwr package (Ekstrom et al. 2017). Each test
indicated the minimum sample size required to detect a small effect
of 0.1, with the p<.05 probability of a type I error of p < .05
and power of 0.8
Value
power Data frame indicating minimum sample sizes for various statistical tests
Author(s)
John James, jjames@datasciencesalon.org
DataScienceSalon/chronic documentation built on May 8, 2019, 11:47 a.m.
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Description Usage Arguments Details Value Author(s)
Description
estimateSampleSize(effect, sigLevel, powerLevel)
Usage
1 | estimateSampleSize(effect = 0.1, sigLevel = 0.05, powerLevel = 0.8)
|
Arguments
effect |
Numeric variable indicating effect size to discern |
sigLevel |
Numeric variable indicating the level of significance |
powerLevel |
Numeric indicator of the power level |
Details
Function to compute minimum sample size required for Variable and partial response rates may affect sample size. To ensure that readers could rely upon non-significant results, this analyst conducted several power analyses using the pwr package (Ekstrom et al. 2017). Each test indicated the minimum sample size required to detect a small effect of 0.1, with the p<.05 probability of a type I error of p < .05 and power of 0.8
Value
power Data frame indicating minimum sample sizes for various statistical tests
Author(s)
John James, jjames@datasciencesalon.org
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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