R: A Plotting Function for density estimator object histSmo

plot.histSmo {gamlss} | R Documentation

## 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.

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, http://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 http://www.gamlss.org/).

### See Also

`histSmo`

### Examples

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

[Package gamlss version 5.0-2 Index]