The class someMTP.object is the output of a call to
`fdrOrd`

. It also stores the information needed for related plots.

`rej`

:a logical vector indicating whenever the related hypotesis have been rejected.

`p`

:The vector of (raw) p-values used in the procedure.

`ord`

:The vector used to sort the p-values (decreasing).

`idOrd`

:The vector of indices used in sorting.

`MTP`

:The type of procedure used.

`GD`

:A logical value incating if the correction for General Dependence have been used or not.

`q`

:The level of contrelled FDR when MTP=="fdrOrd".

`k`

:The number of false rejection when MTP=="kfweOrd"

`J`

:The number of allowed Jumps when MTP=="kfweOrd"

`alpha`

:The significance level when MTP=="kfweOrd"

`alphaprime`

:The significance level of individual tests.

`call`

:The cal that generates the object.

- show
someMTP.object: Prints the test results.

- summary
someMTP.object: Prints the test results (as

`show`

).- draw
someMTP.object: Plots results;

`what = c("all","ordVsP", "stepVsR")`

- sort
`signature(x = "someMTP.object")`

: Sorts the p-values to decreasing order of`ord`

.- length
`signature(x = "someMTP.object")`

: The number of tests performed.- names
`signature(x = "someMTP.object")`

: Extracts the row names of the results matrix.- names<-
`signature(x = "someMTP.object")`

: Changes the row names of the results matrix. Duplicate names are not allowed, but see`alias`

.

Livio Finos: livio@stat.unipd.it

`someMTP.object`

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
# Simple examples with random data
set.seed(17)
x=matrix(rnorm(60),3,20)
x[,1:10]=x[,1:10]+2 ##variables 1:10 have tests under H1
ts=apply(x,2,function(x) t.test(x)$statistic)
ps=apply(x,2,function(x) t.test(x)$p.value)
m2=apply(x^2,2,mean)
pOrd <- fdrOrd(ps,q=.05,ord=m2)
pOrd
length(pOrd)
names(pOrd) <- paste("V",1:20,sep="")
names(pOrd)
``` |

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