pi0 (version 1.4-1)

plot.parncpt: plot an object of class parncpt, i.e., parametric estiamte of noncentrality parameters

Description

Plot the histogram of observed t-statistics together with its fitted density estimate; also plotted is the estimated density of noncentrality parameters.

Usage

# S3 method for parncpt
plot(x,...)
# S3 method for parncpt2
plot(x,...)

Arguments

x

an object of class parncpt

…

currently not used

Value

the invisible x itself

Details

Left panel shows the density estimate of observed t-statistics, overlapped with a histogram; right panel shows the estimated density of noncentrality parameters. Solid line is the actual mean of the estimate; dashed line is located at zero.

References

Qu L, Nettleton D, Dekkers JCM. (2012) Improved Estimation of the Noncentrality Parameter Distribution from a Large Number of $t$-statistics, with Applications to False Discovery Rate Estimation in Microarray Data Analysis. Biometrics, 68, 1178--1187.

See Also

parncpt, nparncpt, sparncpt

Examples

# NOT RUN {
data(simulatedTstat)
(npfit=nparncpt(tstat=simulatedTstat, df=8)); 
(pfit=parncpt(tstat=simulatedTstat, df=8, zeromean=FALSE)); plot(pfit)
(pfit0=parncpt(tstat=simulatedTstat, df=8, zeromean=TRUE)); plot(pfit0)
(spfit=sparncpt(npfit,pfit)); plot(spfit)
# }