Description Usage Arguments Details Author(s) Examples
Show the simulation results of simuComp
for limma voom, limma trans, integrated likelihood and Quasi likelihood method.
1 2 |
intcomp |
A object returned by |
difflevel |
Which subgroup of genes is shown. |
... |
Other arguments that are currently not used. |
If the intcomp was produced under null = TRUE. A table of empirical false positive rate (the number of rejections divided by the number of outcomes, since the simulations are all under null condition, all rejections are false positives) will be displayed.
If the intcomp was produced under null = FALSE. First, the discovery rates (the number of rejections divided by the number of outcomes) under fdrlevel in simuComp
will be presented for the four methods. Then a table of discovery rate under p values thresholds defined by levels in simuComp
will be displayed.
Yilun Zhang, David Rocke
1 2 3 4 5 6 7 8 9 10 11 12 13 | ## Not run:
data(count.data)
data(condition)
count=count.data[,1:10]
cond=rep(0:1,each=5)
res=intSEQ(count, cond)
simu.res <- simuComp(res, ntime = 2)
summary(simu.res, difflevel="all")
summary(simu.res, difflevel="small")
summary(simu.res, difflevel="medium")
summary(simu.res, difflevel="large")
## End(Not run)
|
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