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]