RLpar {Renext}

Graphical parameters for Return Level plots

Description

Build a hierarchical list of graphical parameters that can be used in the methods plot or lines for the class "Renouv".

Usage

RLpar(mono = TRUE,
      trace = 0L,
      ...)

Arguments

mono

Logical. The default TRUE is for plots possibly using colors but that can be printed in grayscale. With the value FALSE, curves or symbols will appear distinctly on a color device but not necessarily when printed in grayscale.

trace

Integer level of verbosity. The default value 0 prints nothing.

...

Arguments with names corresponding to the hierarchical structure and the graphical parameter to be changed.

Details

The formals are in correspondence with the list hierarchy using a column "." as separator to define the tree. Thus a quant.col formal argument can be used to specify the color of the quantile (or return level) curve, while conf.conf1.col will be used for the first confidence limits (lower and upper).

Value

A list containing lists in a hierarchical fashion. At the root level, an element concerns a single curve (e.g. the return level curve), a single scatterplot (e.g. sample used in POT), a group of curves (e.g. the confidence limits) or a group of scatterplots (e.g. the collection of MAX historical blocks). For single elements (curve or scatterplot) the list contains graphical elements with values as they would be given in plot or lines calls. For group elements, each element is a list of such lists.

Note

A list of default parameter values is built first using the model suitable for the mono value. Then the values provided by the user overwrite the existing. Thus a curve can be coloured even if mono = TRUE, if a colour specification is given for the corresponding element.

When the same parameter name is used several times in RLpar, a warning is thrown.

Author(s)

Yves Deville

See Also

plot.Renouv and lines.Renouv with which RLpar is to be used.

Examples

## change color for quantile curve and type for confidence
## limits #1 (with largest confidence level).
newRLpar <- RLpar(quant.col = "red", conf.conf1.lty = "dashed")
newRLpar$quant

## show the names of all possible editable parameters
names(unlist(RLpar()))