apf_plot {APFr} | R Documentation |
Generate smooth graphs for the APF and FDR estimates
Description
apf_plot
returns a graph with Average Power Function (APF),
Bayes False Discovery Rate (FDR) and APF vs. FDR. In addition, when
tab = TRUE
, a table containing APF, FDR, tau and gamma values
for a selected subset of APF and FDR is printed.
Usage
apf_plot(APF_lst, tab = TRUE, APF_inf = 0.5, FDR_sup = 0.05)
Arguments
APF_lst |
The output from the |
tab |
If |
APF_inf |
Sets the minimum value of APF to appear in the table
when |
FDR_sup |
Sets the maximum value of Bayes FDR to appear in the
table when |
Value
Smooth graphs for APF vs Gamma (left), FDR vs Gamma (centre)
and APF vs FDR (right). Regions where FDR \le
FDR_sup
and
APF \ge
APF_inf
(if presents) are highlighted in yellow
and printed in a table (if tab = TRUE
) together with the relative
values of gamma and tau.
References
Quatto, P, Margaritella, N, et al. Brain networks construction using Bayes FDR and average power function. Stat Methods Med Res. Published online May 14th, 2019; DOI:10.1177/0962280219844288.
Examples
data("Ex2")
apf_plot(Ex2)
# Ex2 is an example of output obtained
# from the apf_fdr() function.