smg.binom.power: calculates the power in a binomial power model for...
In KarchinLab/cancerSeqStudy: Power and False Positive Analysis of Cancer Sequencing Studies
Description
Usage
Arguments
Value
Description
calculates the power in a binomial power model
for significantly mutated genes
Usage
1
2
smg.binom.power(my.mu, N, Leff = 1500 * 3/4, r = 0.02,
signif.level = 5e-06)
Arguments
my.mu
per base rate of mutation for binomial
N
vector of sample sizes
r
effect size for power analysis
signif.level
alpha level for power analysis
Value
vector containing power for each sample size
KarchinLab/cancerSeqStudy documentation built on May 8, 2019, 4:47 p.m.
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Description Usage Arguments Value
Description
calculates the power in a binomial power model for significantly mutated genes
Usage
1 2 | smg.binom.power(my.mu, N, Leff = 1500 * 3/4, r = 0.02,
signif.level = 5e-06)
|
Arguments
my.mu |
per base rate of mutation for binomial |
N |
vector of sample sizes |
r |
effect size for power analysis |
signif.level |
alpha level for power analysis |
Value
vector containing power for each sample size
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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