resplot: Relative distribution plot to a Standard Normal

In reldist: Relative Distribution Methods

Relative distribution plot to a Standard Normal

Description

resplot produces a relative distribution of the values to a standard normal.

Graphical parameters may be given as arguments to resplot.

Usage

resplot(x,
       standardize=TRUE,
       xlab="Gaussian Cumulative Proportion",
       method="Bayes",
       ...)

Arguments

x	The first sample for resplot.
standardize	Should the sample be converted to standard units first?
xlab	plot labels.
method	Method used to estimate the relative density. The default ("Bayes") uses a density estimator based on Poisson Nonparametric Regression and Bayesian inference developed by Wand and Wu (2022). The option ("bgk") uses a Gaussian kernel density estimator for bounded domain one-dimensional data developed by Botev, Grotowski and Kroese (2010). The option ("gam") uses a local likelihood approach based on smoothed Poisson regression. The option "loclik" uses log-splines. The option "quick" uses the Anscombe transformation to stabilize variances. In versions prior to 1.3 the "quick" approach was used.
...	graphical parameters.

Value

A list with components summarizing the relative distribution. See reldist for the details.

See Also

reldist.

Examples

y <- rnorm(2000)
resplot(y, method="bgk")
data(precipitation)
resplot(precipitation, ylab = "Precipitation [in/yr] for 70 US cities", method="bgk")

reldist documentation built on March 7, 2023, 8:34 p.m.