plotbcdf {mecdf}R Documentation

plots of bivariate cdfs

Description

Functions for plotting bivariate CDFs in 3D. Currently, very limited options. More options are likely to be added to future versions. Warning 1: The function bcdf.plot is deprecated, do not use. Warning 2: Setting simple to false, may require a very large amount of computational time and space, except for very small samples.

Usage

plotbcdf (m, ...)
## S3 method for class 'mecdf':
plotbcdf(m, simple=TRUE, res=16, ulim, vlim, ...)
## S3 method for class 'matrix':
plotbcdf(m, mmin=0, mmax=1, ...)
bcdf.plot (...)

Arguments

m An ECDF model or a square matrix, representing points over a regularly space grid, that should in principle, be monotonically nondecreasing from top to bottom (plotted in the direction left-close to right-far) and from left to right (plotted in the direction right-close to left-far).
simple A logical. If true a square matrix representing points over a regularly spaced grid is created, evaluated and plotted as a discrete approximation of a smooth surface. If false a more realistic plot is created. This will either be a plot of a bivariate step function, or a continuous surface defined over an irregularly spaced grid, depending on whether or not the the model is a step function.
res Ignored unless simple is true. The number of points in both directions of the grid,
ulim Ignored unless simple is true. A vector giving the minimum and maximum values for the first variable on the grid. Defaults to the minimum and maximum observed values.
vlim Same as ulim, except for the second variable.
mmin Minimum value.
mmax Maximum value.
... Their just there.

[Package mecdf version 0.3.1 Index]