plot2d: Plot two-dimensional probability density estimate

In PDFEstimator: Multivariate Nonparametric Probability Density Estimator

Plot two-dimensional probability density estimate

Description

The plot method for two-dimensional pdfEstimator objects.

Usage

plot2d(x, xlab = "x", ylab = "y", zlab = "PDF")

Arguments

x	an "estimatePDFmv" object
xlab	x-axis label for pdf
ylab	y-axis label for pdf
zlab	z-axis label for pdf

Value

No return value, called for side effects

Author(s)

Jenny Farmer, Donald Jacobs

References

Farmer, J. and D. Jacobs (2018). "High throughput nonparametric probability density estimation." PLoS One 13(5): e0196937.

Examples

library(MultiRNG)
nSamples = 10000
cmat = matrix(c(1.0, 0.0, 0.0, 1.0), nrow = 2, ncol = 2)
meanvec = c(0, 0)
sample = draw.d.variate.normal(no.row = nSamples, d = 2,
                               mean.vec = meanvec, cov.mat = cmat)
mvPDF = estimatePDFmv(sample, resolution = 50)

plot2d(mvPDF)

PDFEstimator documentation built on Aug. 24, 2023, 9:07 a.m.