qp.hist {qp} | R Documentation |
Using the output of qp.search
this function plots
the histogram of the estimated non-rejection rates. When the inverse
correlation matrix from the generative graph is given, it provides
additional plots of information.
qp.hist(qp.output, IC=NULL, prob=FALSE)
qp.output |
output of qp.search |
IC |
inverse correlation matrix from the generative graph |
prob |
when this flag is set to TRUE the histograms show densities, otherwise they show absolute frequencies. |
Robert Castelo and Alberto Roverato
Castelo, R. and Roverato, A. (2006). A robust procedure for Gaussian graphical model search from microarray data with p larger than n, J. Mach. Learn. Res., 7:2621-2650
data(jmlr06data) # if are working with synthetic data and have the IC matrix qp.hist(qp.out.bd5.N20.q10,IC.bd5,prob=TRUE) # otherwise, we just look at the non-rejection rate distribution qp.hist(qp.out.bd5.N20.q10,NULL,prob=TRUE)