plotFDR | R Documentation |
Plot FDR(p_i) estimates against index of sorted p-values
from, e.g., normalmixEM or the semiparametric mixture model posterior probabilities
output by spEMsymlocN01
, or any EM-algorithm like
normalmixEM
which returns posterior probabilities. The function
can simultaneously plot FDR estimates from two strategies for comparison.
Plot of the true FDR can be added if complete data are available
(typically in simulation studies).
plotFDR(post1, post2 = NULL, lg1 = "FDR 1", lg2 = NULL, title = NULL, compH0 = 1, alpha = 0.1, complete.data = NULL, pctfdr = 0.3)
post1 |
The matrix of posterior probabilities from objects such as the output
from |
post2 |
A second object like |
lg1 |
Text describing the FDR estimate in |
lg2 |
Text describing the FDR estimate in |
title |
Plot title, a default is provided if |
compH0 |
The component indicator associated to the null hypothesis H0,
normally 1 since it is defined in this way in |
alpha |
The target FDR level; the index at which the FDR estimate crosses the horizontal line for level |
complete.data |
An array with n lines and 2 columns, with the component indicator in column 1 and the p-values in column 2, sorted by p-values. |
pctfdr |
The level up to which the FDR is plotted, i.e. the scale of the vertical axis. |
A plot of one or two FDR estimates, with the true FDR if available
Didier Chauveau
Chauveau, D., Saby, N., Orton, T. G., Lemercier B., Walter, C. and Arrouys, D. Large-scale simultaneous hypothesis testing in monitoring carbon content from French soil database – A semi-parametric mixture approach, Geoderma 219-220 (2014), 117-124.
spEMsymlocN01
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