plot.ash

Arguments to be passed to methods,such as graphical parameters (see <code><a rd-options="graphics" href="/link/plot?package=ashr&version=2.0.5&to=graphics" data-mini-rdoc="graphics::plot">plot</a></code>)

xlim lower range, default is the lowest value of betahat

xmin

xlim upper range, default is the highest value of betahat

xmax


Plot the cdf of the underlying fitted distribution


The R package 'ashr' implements an Empirical Bayes approach for large-scale hypothesis testing and false discovery rate (FDR) estimation based on the methods proposed in M. Stephens, 2016, "False discovery rates: a new deal", <DOI:10.1093/biostatistics/kxw041>. These methods can be applied whenever two sets of summary statistics---estimated effects and standard errors---are available, just as 'qvalue' can be applied to previously computed p-values. Two main interfaces are provided: ash(), which is more user-friendly; and ash.workhorse(), which has more options and is geared toward advanced users.

Peter Carbonetto

ashr

Methods for Adaptive Shrinkage, using Empirical Bayes

plot.ash function

Arguments to be passed to methods,such as graphical parameters (see <code><a rd-options='graphics' href='plot'>plot</a></code>)

plot.ash: Plot method for ash object

Description

Usage

Arguments

Details