summary-methods

- summary
`signature(object = "Dataclass")`

: returns the same information as print, moreover a statistical summary for each run; optional arguments:- runs0
the indices of runs to be summarized; — of this vector

`runs0`

maximally`MaxNumberofSummarizedRuns`

runs are summarized where`MaxNumberofSummarizedRuns`

is a global option, see`distrSimoptions`

- dims0
the indices of observation dimensions to be summarized; — of this vector

`dims0`

maximally`MaxNumberofSummarizedObsDims`

dimensions are summarized where`MaxNumberofSummarizedObsDims`

is a global option, see`distrSimoptions`

- summary
`signature(object = "Simulation")`

: returns name, filename, seed, number of runs, the size of the sample and a statistical summary for each run; optional arguments: as with`signature(object = "Dataclass")`

- summary
`signature(object = "Contsimulation")`

: returns name, filename, seed, number of runs, the size of the sample, the rate and a statistical summary for each run of the real data; optional arguments: as with`signature(object = "Dataclass")`

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.