plot.histSmo: A Plotting Function for density estimator object histSmo

In gamlss: Generalised Additive Models for Location Scale and Shape

A Plotting Function for density estimator object histSmo

Description

Plots the estimated density or its c.d.f function or its inverse cdf function

Usage

## S3 method for class 'histSmo'
plot(x, type = c("hist", "cdf", "invcdf"), ...)

Arguments

x	An histSmo object
type	Different plots: a histogram and density estimator, a cdf function or an inverse cdf function.
...	for further arguments

Value

returns the relevant plot

Author(s)

Mikis Stasinopoulos, Paul Eilers, Bob Rigby, Vlasios Voudouris and Majid Djennad

References

Eilers, P. (2003). A perfect smoother. Analytical Chemistry, 75: 3631-3636.

Eilers, P. H. C. and Marx, B. D. (1996). Flexible smoothing with B-splines and penalties (with comments and rejoinder). Statist. Sci, 11, 89-121.

Lindsey, J.K. (1997) Applying Generalized Linear Models. New York: Springer-Verlag. ISBN 0-387-98218-3

Rigby, R. A. and Stasinopoulos D. M. (2005). Generalized additive models for location, scale and shape,(with discussion), Appl. Statist., 54, part 3, pp 507-554.

Rigby, R. A., Stasinopoulos, D. M., Heller, G. Z., and De Bastiani, F. (2019) Distributions for modeling location, scale, and shape: Using GAMLSS in R, Chapman and Hall/CRC. An older version can be found in https://www.gamlss.com/.

Stasinopoulos D. M. Rigby R.A. (2007) Generalized additive models for location scale and shape (GAMLSS) in R. Journal of Statistical Software, Vol. 23, Issue 7, Dec 2007, https://www.jstatsoft.org/v23/i07/.

Stasinopoulos D. M., Rigby R.A., Heller G., Voudouris V., and De Bastiani F., (2017) Flexible Regression and Smoothing: Using GAMLSS in R, Chapman and Hall/CRC.

(see also https://www.gamlss.com/).

See Also

histSmo

Examples

Y <- rPARETO2(1000) 
m1<- histSmo(Y, lower=0, save=TRUE)
plot(m1)
plot(m1, "cdf")
plot(m1, "invcdf")

gamlss documentation built on Oct. 4, 2023, 5:08 p.m.