kappa_p: Compute proportionality constant for fold change bound.
Description
Filtering on overall variance induces a lower bound on fold
change. This bound depends on the significance of the evidence against
the null hypothesis, an is a multiple of the cutoff used for an
overall variance filter. It also depends on sample size in both of the
groups being compared. These functions compute the multiplier for the
supplied p-values or t-statistics.Usage
kappa_p(p, n1, n2 = n1)
kappa_t(t, n1, n2 = n1)
Arguments
p
The p-values at which to compute the multiplier.
t
The t-statistics at which to compute the multiplier.
n1
Sample size for class 1.
n2
Sample size for class 2.
Value
- A vector of multipliers: one per p-value or t-static in
p or t.
Examples
Run this code# See the vignette: Diagnostic plots for independent filtering
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