histSmo_plot: Supporting histSmo()

In gamlss.ggplots: Plotting Functions for Generalized Additive Model for Location Scale and Shape

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)

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.

Details

This function supports histSmo().

Value

A plot

Author(s)

Mikis Stasinopulos, Rober Rigby and Fernanda de Bastiani

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/).

See Also

histSmo

Examples

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

gamlss.ggplots documentation built on May 29, 2024, 1:34 a.m.