ratiometric.bbd.power: Calculates the power in a ratio-metric approach using a...

In KarchinLab/cancerSeqStudy: Power and False Positive Analysis of Cancer Sequencing Studies

Description

The alpha and beta parameterize a proportion out of the total mutations in a gene, rather than a mutation rate per base.

Usage

ratiometric.bbd.power(my.alpha, my.beta, N, mu, Df = 1, Leff = 1500 * 3/4,
  r = 0.02, signif.level = 5e-06, nonsil.frac = 3/4)

Arguments

my.alpha	alpha parameter for beta binomial
my.beta	beta parameter for beta binomial
N	vector of sample sizes
mu	per base rate of mutation
Df	Fraction of driver mutations which are relavent to the ratio-metric feature of interest.
Leff	effective length of gene in bases (Length*nonsil.frac)
r	effect size for power analysis
signif.level	alpha level for power analysis
nonsil.frac	fraction of mutations which are non-silent

Value

vector containing power for each sample size

KarchinLab/cancerSeqStudy documentation built on May 8, 2019, 4:47 p.m.