histSmo_plot: Supporting histSmo()

Description

This function helps to plot density estimates created by the histSmo() function.

Usage

histSmo_plot(x, col_fill_bar = gray(0.5), col_bar = "pink", 
        col_line = "darkblue", width_line = 1, title, xlabel)

Value

A plot

Arguments

x: a histSmo object
col_fill_bar: The fill colour of the bars
col_bar: the colour of the border of thebars
col_line: the colour of the lines
width_line: the width of the lines
title: title if needed
xlabel: x axis lable if needed.

Author

Mikis Stasinopulos, Rober Rigby and Fernanda de Bastiani

Details

This function supports histSmo().

References

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.

Stasinopoulos, M.D., Kneib, T., Klein, N., Mayr, A. and Heller, G.Z., (2024). Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications (Vol. 56). Cambridge University Press.

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

Examples

Run this code

a1 <-histSmo(abdom$y)
gg1 <-histSmo_plot(a1)
gg1

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