make.z.pdf: Compute a normalized pdf from a vector of z-statistics

In skranz/RoundingMatters: Tools for adjusting for rounding problems in metastudies about p-hacking and publication bias

Description

The PDF is normalized such that the point of highest density is 1

Usage

make.z.pdf(
  z,
  bw = 0.05,
  kernel = "gaussian",
  n = 512,
  dat,
  min.s = 100,
  z.min = 0,
  z.max = 5,
  show.hist = FALSE,
  ...
)

Arguments

z	a vector of z statistics. Usually, you would select all values from dat whose mu and sigma have sufficiently many significant digits
...	other parameters passed to stats::density

skranz/RoundingMatters documentation built on Dec. 23, 2021, 3:23 a.m.