topD3M: Subsetting Top Significant Distribution Pairs and Output...
In ymatts/D3M: Two Sample Test with Wasserstein Metric

Description Usage Arguments Details Value Author(s) Examples

Subsetting Top Significant Distribution Pairs and Output Graphics.

1 2	topD3M(obj, id = seq_along(obj[[1]]), ntop = 10, qval = TRUE, plot.it = FALSE)

`obj`	D3M object resulted from d3m.
`id`	identifier of each row. Default is sequential integer number starting from 1.
`ntop`	the number of top distribution pairs to be investigated. Default is 10.
`qval`	if TRUE, ordering the result by false discovery rate.
`plot.it`	whether output the grphics based on Q-Q plot by JPEG format. Defarult is plot.it = FALSE.

this function extract a subset of the most significant distribution pairs based on p-values. The graphical representation is based on Q-Q plots, which represents the shape difference being tested by d3m function.

top.cases top significant distributions in case group.

top.control top significant distributions in control group.

pval p-values related to top significant distribution pairs.

Q-Q plots of distribution pairs.

Yusuke Matsui & Teppei Shimamura

library(D3M)
nrep <- 12
cases <- Map(rbeta,rep(30,nrep),rep(1,nrep),rep(5,nrep)); cases <- do.call("rbind",cases)
control <- Map(rbeta,rep(30,nrep),rep(1,nrep),rep(5,nrep)); control <- do.call("rbind",control)
obj <- d3m(cases,control,paranum = 101, q = 2, bsn = 1000)
topD3M(obj,ntop = 10,qval = TRUE, plot.it = FALSE)