plot: Plot Method for Nonparametric Density Estimation

In PDFEstimator: Multivariate Nonparametric Probability Density Estimator

Plot Method for Nonparametric Density Estimation

Description

The plot method for pdfEstimator objects.

Usage

  ## S3 method for class 'PDFe'
plot(x, plotPDF = TRUE, plotSQR = FALSE,
  plotShading = FALSE, shadeResolution = 100, 
  showOutlierPercent = 0, outlierColor = "red3", sqrPlotThreshold = 2, 
  sqrColor = "steelblue4", type="l", lwd = 2, xlab = "x", ylab = "PDF", 
                      legendcex = 0.9, ...)

Arguments

x	an "estimatePDF" object
plotPDF	plot the probability density function
plotSQR	plot the scaled quantile residual of the estimate
plotShading	plot a gray background shading representing the probability density of the scaled quantile residuals
shadeResolution	the number of sample points plotted in the background if plotShading = TRUE. Increasing resolution will provide sharper contours and take longer to plot.
showOutlierPercent	specify confidence threshold for outliers
outlierColor	color for outliers positions outside of threshold defined in showOutlierPercent
sqrPlotThreshold	magnitude of ylim above and below zero for SQR plot
sqrColor	color for sqr plot for positions within the threshold defined in showOutlierPercentage
type	plot type for pdf. If plotPDF = FALSE and plotSQR = TRUE, then the sqr plot uses this type
lwd	line width for pdf. If plotPDF = FALSE and plotSQR = TRUE, then the sqr plot uses this line width
xlab	x-axis label for pdf. If plotPDF = FALSE and plotSQR = TRUE, then the sqr plot uses this label
ylab	y-axis label for pdf. If plotPDF = FALSE and plotSQR = TRUE, then the sqr plot uses this label
legendcex	expansion factor for legend point size with sqr plot type, for plotPDF = FALSE and plotSQR = TRUE
...	further plotting parameters

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

plot(estimatePDF(rnorm(1000, 0, 1)), plotSQR = TRUE, showOutlierPercent = 99)

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