43_model_plot_methods: Model Plot Methods

In probhat: Multivariate Generalized Kernel Smoothing and Related Statistical Methods

Description

Plots methods for models, excluding distribution sets.

Usage

####################################
#discrete kernel smoothing models
#(call plot_dpd)
####################################
## S3 method for class 'dksuv'
ph.plotf(sf, data=FALSE, ...)

####################################
#continuous kernel smoothing models
#(call plot_cpd, plot_cpd_bv or plot_cpd_tv)
####################################
## S3 method for class 'cksuv'
ph.plotf(sf, data=FALSE, ...)
## S3 method for class 'cksmv'
ph.plotf(sf, in3d=FALSE, data=FALSE, ...)
## S3 method for class 'cksc'
ph.plotf(sf, ...)
## S3 method for class 'cksmvc'
ph.plotf(sf, in3d=FALSE, data=FALSE, ...)

####################################
#categorical models
#(call plot_dpd)
####################################
## S3 method for class 'catuv'
ph.plotf(sf, ...)
## S3 method for class 'catc'
ph.plotf(sf, ...)

####################################
#mixed input
####################################
## S3 method for class 'gmix'
ph.plotf(sf, ...)
## S3 method for class 'xmix'
ph.plotf(sf, ...)

####################################
#empirical-like models
#(call plot_cpd)
####################################
## S3 method for class 'eluv'
ph.plotf(sf, data=FALSE, ...)

####################################
#all continuous univariate models
####################################
## S3 method for class 'cpduv'
ph.linesf(sf, ..., xlim, n=200)

Arguments

sf	A probability distribution. Refer to the references and see also sections.
in3d	Logical, if true, create a 3D plot. Ignored, if sf has three or more random variables.
data	If true, include a subpanel with data bars/points. Ignored, if x is a quantile function, a conditional distribution, or has three or more random variables
xlim	Length two numeric vector, giving plot range. Currently, ignored for quantile functions.
n	Integer, number of points.
...	Other arguments for plot_dpd, plot_cpd, plot_cpd_bv and plot_cpd_tv.

Details

Refer to the vignette for more information.

Note that these methods call the functions plot_dpd, plot_cpd, plot_cpd_bv and plot_cpd_tv.
Please refer to these functions for more information.

References

Refer to the vignette for an overview, references and better examples.

See Also

Succinct Constructors
Discrete Kernel Smoothing, Continuous Kernel Smoothing
Categorical Distributions, Empirical-Like Distributions

plot_dpd, plot_cpd

plot_cpd_bv, plot_cpd_tv

Examples

prep.ph.data ()

dfh <- pmfuv.dks (traffic.bins, traffic.freq)
cfh <- pdfuv.cks (height)
cfh2 <- pdfmv.cks (trees2 [,-2])

plot (dfh, TRUE)
plot (cfh, TRUE)
plot (cfh2,, TRUE)

probhat documentation built on May 12, 2021, 5:08 p.m.