identify effect sizes

This function estimates an appropriate distribution of effect sizes to simulate in a power analysis.

Usage

find.PA.effect.sizes.2.sim(mydata)

Arguments

mydata

Your metabolite data matrix, with samples in rows

Value

a vector of effect sizes

Examples

ex_data = sapply(1:10, function(x){ rnorm(250, 40, 5) })
find.PA.effect.sizes.2.sim(ex_data)
#>  [1] 0.1401 0.1883 0.2365 0.2846 0.3328 0.3810 0.4292 0.4774 0.5255 0.5737
#> [11] 0.6219