cond_power_rule_norm: Conditional power sample size reassessment rule (z-test)
In floatofmath/resamplingMCP: Resampling graph-based multiple comparison procedures
Description
Usage
Arguments
Value
Author(s)
Description
Conditional power rule for the one-sample (or paired) z-test using the normal distribution sample size formula. Reestimates the standard deviation from the first stage and recomputes the sample size such that the power to reject the null meets the target power assuming that the mean (paired treatment difference) is equal to a prespecified value.
Usage
1
cond_power_rule_norm(x1, m = 1, target = 0.9, alpha = 0.025, maxN = Inf)
Arguments
x1
First stage observations
m
Target mean value
target
Target power
alpha
Significance level
maxN
Maximum sample size
Value
Total sample size required to achieve the target power
Author(s)
Florian Klinglmueller
floatofmath/resamplingMCP documentation built on May 16, 2019, 1:21 p.m.
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Description Usage Arguments Value Author(s)
Description
Conditional power rule for the one-sample (or paired) z-test using the normal distribution sample size formula. Reestimates the standard deviation from the first stage and recomputes the sample size such that the power to reject the null meets the target power assuming that the mean (paired treatment difference) is equal to a prespecified value.
Usage
1 | cond_power_rule_norm(x1, m = 1, target = 0.9, alpha = 0.025, maxN = Inf)
|
Arguments
x1 |
First stage observations |
m |
Target mean value |
target |
Target power |
alpha |
Significance level |
maxN |
Maximum sample size |
Value
Total sample size required to achieve the target power
Author(s)
Florian Klinglmueller
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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