resid_symmetry {gamlss.ggplots} | R Documentation |
Symmetry plots
Description
The functions resid_symmetry()
and y_symmetry()
plot symmtry plots for residuals and single variable, respectively.
Usage
resid_symmetry(model, title)
y_symmetry(y, title)
Arguments
model |
A model which allows the function |
y |
a single variable |
title |
A title for the plot if needed |
Details
The function orders the data (or residuals) and takes the median minus the lower half and plot it against the upper half minus the median.
Value
The symmetry plot is produced.
Author(s)
Mikis Stasinopoulos, Bob 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
Examples
y <- rBCT(1000, mu=3, sigma=.1, nu=-1, tau=5)
y_hist(y)
gg <- y_symmetry(y)