plot.discrepancy {PoweR} | R Documentation |
This function produces a p-value discrepancy plot.
## S3 method for class 'discrepancy' plot(x,legend.pos=NULL,...)
x |
|
legend.pos |
If |
... |
further arguments passed to the |
See Section 2.3 in Lafaye de Micheaux, P. and Tran, V. A. (2014).
P. Lafaye de Micheaux, V. A. Tran
Pierre Lafaye de Micheaux, Viet Anh Tran (2016). PoweR: A Reproducible Research Tool to Ease Monte Carlo Power Simulation Studies for Studies for Goodness-of-fit Tests in R. Journal of Statistical Software, 69(3), 1–42. doi:10.18637/jss.v069.i03
See plot.pvalue
, plot.sizepower
, graph
.
stind <- c(43,44,42) # Indices of test statistics. alter <-list(stat43=3,stat44=3,stat42=3) # Type for each test. # Several p-values computed under the null. pnull <- many.pval(stat.indices=stind,law.index=1, n=100,N=10,alter=alter,null.dist=1, method="direct")$pvals xnull <- calcFx(pnull) plot.discrepancy(xnull)