bootPower: Perform bootstrap power analysis on a list of square distance...

In smvargas/PERMANOVA: Power estimation for microbiome studies using pairwise distances and PERMANOVA.

Description

Estimates the statistical power of PERMANOVA testing to detect the group-level effect in the given distance matrices, based upon bootstrap sampling.

Usage

bootPower(dm_list, boot_number = 100, subject_group_vector = c(3, 4, 5),
  alpha = 0.05)

Arguments

dm_list	a list of square distance matrices, with names
boot_number	the number of bootstrap samples to perform on each distance matrix in the list
subject_group_vector	number of subjects in each group to sample, as a vector.
alpha	the threshold for PERMANOVA type I error

Value

A data frame relating PERMANOVA power to effect size quantified by the coefficient of determination (R^2) and omega-squared.

See Also

simPower, bootDM

Examples

bootPower(lapply(simPower(),calcUJstudy))

smvargas/PERMANOVA documentation built on May 20, 2019, 12:37 p.m.