histSmo_plot: Supporting histSmo()

View source: R/histSmo_plot.R

histSmo_plotR Documentation

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.