plot-methods

An S3 object of class `c("plotInfo","DiagnInfo")`

, i.e., a list
containing the information needed to produce the
respective plot, which at a later stage could be used by different
graphic engines (like, e.g. `ggplot`

) to produce the plot
in a different framework. A more detailed description will follow in
a subsequent version.

- plot
`signature(x = "Dataclass", y="missing")`

: produces a plot of the data matrix; optional arguments:- obs0
the indices of observations to be plotted;— of this vector

`runs0`

maximally`MaxNumberofPlottedObs`

runs are plotted where`MaxNumberofPlottedObs`

is a global option, see`distrSimoptions`

- runs0
the indices of runs to be plotted; — of this vector

`runs0`

maximally`MaxNumberofPlottedRuns`

runs are plotted where`MaxNumberofPlottedRuns`

is a global option, see`distrSimoptions`

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

`dims0`

maximally`MaxNumberofPlottedObsDims`

dimensions are plotted where`MaxNumberofPlottedObsDims`

is a global option, see`distrSimoptions`

typical plot arguments may be passed; some have slightly different meaning (compare

`plot.default`

):- ylim
may be transmitted matrixwise (in a 2 x (number of dimensions) matrix)) or globally, using the usual recycling rules

- col,cex,pch
may be transmitted vectorwise (for the different dimensions) or globally, using the usual recycling rules

- xlab,ylab,type
are ignored

- plot
`signature(x = "Simulation", y="missing")`

: produces a plot of the data matrix; optional and typical plot arguments: as with`signature(x = "Dataclass", y="missing")`

- plot
`signature(x = "Contsimulation")`

: produces a plot of the real data matrix; optional arguments: as with`signature(x = "Dataclass", y="missing")`

; typical plot arguments may be passed; some have slightly different meaning (compare`plot.default`

):- ylim
as with

`signature(x = "Simulation", y="missing")`

and`signature(x = "Dataclass", y="missing")`

- col,cex,pch
are ignored

- col.id,cex.id,pch.id
as

`col,cex,pch`

for`signature(x = "Dataclass", y="missing")`

but only for ideal part of the data- col.c,cex.c,pch.c
as

`col,cex,pch`

for`signature(x = "Dataclass", y="missing")`

but only for contaminated part of the data- xlab,ylab,type
are ignored

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