| resid_qqplot {gamlss.ggplots} | R Documentation |
QQ-plot of the residuals of a GAMLSS model
Description
The function resid_qqplot() produces a single QQ-plot of the residuals from a fitted GAMLSS model or any other model with suitable standardised residuals.
The function add_resid_qqplot() takes a QQ-plot created by resid_qqplot() and adds another QQ-plot from a different fitted model.
The function model_resid_qqplots() takes different fitted models and creates QQ-plots for all fitted models.
Usage
resid_qqplot(obj, resid, value = 3, points.col = "steelblue4",
line.col = "darkgray", check_overlap = TRUE, title)
add_resid_qqplot(gg, obj, value = 3, points.col = "sienna",
line.col = "darkgray", check_overlap = TRUE, title)
model_qqplot(obj, ..., line.col = "steelblue4", title)
Arguments
obj |
A GAMLLS fitted model or |
resid |
any other residual suitable standardised. |
gg |
a ggplot |
value |
A cut off value to identify large or small residuals |
points.col |
the colout of the points in the plot |
line.col |
the colout of the line in the plot |
check_overlap |
if observations are identify this reduvce the cluterring |
title |
a title if needed it |
... |
extra GAMLSS models |
Details
This is a stanard QQ-plot but with the advadance of able to identify large or samll residuals
Value
A QQ-plotbis created
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
data(abdom)
a<-gamlss(y~pb(x),family=LO,data=abdom)
b<-gamlss(y~pb(x),family=NO,data=abdom)
gg <- resid_qqplot(a)
add_resid_qqplot(gg, b)
model_qqplot(a,b)