internals_for_ROptEst_Cniperplots: Internal / Helper functions of package ROptEst for cniper plot functions

Description

These functions are internally used helper function for cniperCont and cniperPointPlot.

Usage

.plotData(data, dots, fun, L2Fam,  IC, jit.fac, jit.tol, plotInfo )
.getFunCnip(IC1,IC2, risk, L2Fam, r, b20=NULL)

Value

.plotData: If argument dots contains an element return.Order and if this equals TRUE, the order of the (remaining) observations given by their original index is returned (remaining means: after a possible reduction by argument which.lbs, and ordering is according fun; otherwise we return invisible() as usual.
.getFunCnip: a vectorized function to compute the risk difference.

Arguments

data: data to be plot in
dots: list; argument ... from the calling function
fun: function from data to reals; function according to which the data is ordered
L2Fam: object of class L2ParamFamily
IC: object of class IC: To determine the size of the observation symbols, we compute the norm of the IC evaluated at this point.
IC1: object of class IC: one of the ICs from which to take the risk difference.
IC2: object of class IC: one of the ICs from which to take the risk difference.
risk: object of class asGRisk: the risk to take the fifference from
r: positive numeric of length 1: the neighborhood radius
b20: positive numeric of length 1: the maximal bias of IC2.
jit.fac: jittering factor used in case of a DiscreteDistribution for plotting points of the second argument in a jittered fashion.
jit.tol: jittering tolerance used in case of a DiscreteDistribution for plotting points of the second argument in a jittered fashion.
plotInfo: stored info from the plot

Details

.plotData takes argument data and plots it into the cniper graph.

.getFunCnip produces a function to compute the risk difference. If argument b20 is not NULL, in the risk difference, for IC2 uses the least favorable contamination situation ('over all real Dirac contamination points'), i.e. leading to a bias of b20. Otherwise it uses the bias obtaine from a contamination in the evaluation point.