plot_qq: Plot QQ

In wjunger/ares: Environmental air pollution epidemiology: a library for time series analysis

Description

Plot a quantile-quantile graph of the residuals

Usage

plot_qq(x, type = "deviance", new = TRUE, ...)

Arguments

x	a model fitted by fit_core
type	a quoted string indicating the type of residuals to extract. Default is "deviance". See get_residuals
new	if TRUE a new graph window is opened
...	further options to qqnorm

Details

This function simply interfaces the usual quantile-quantile plot and line of the residuals extracted from x using a single call.

Value

This function does not return a value.

Author(s)

Washington Junger [e-mail] and Antonio Ponce de Leon [e-mail]

References

McGullagh, P., Nelder, J. A. (1989) Generalized linear models. Chapman and Hall.

Hastie, T., Tibshirani, R. (1990) Generalized additive models. 2 ed. Chapman and Hall.

Cook, R. D., Weisberg, S. (1982) Residuals and Influence in Regression. Chapman and Hall.

Atkinson, A.C. (1985) Plots, Transformations and Regression. Oxford University Press.

Pierce, D. A., Schafer, D. W. (1986) Residuals in generalized linear models. Journal of the American Statistical Association, 81(396),977–986.

See Also

fit_core,get_residuals

Examples

data(admrio)
setup(admrio,"date")
f <- resp5~s(time)+weekdays+s(tmpmax)+s(humid)
m <- fit_core(f)
plot_qq(m)

wjunger/ares documentation built on Dec. 23, 2021, 5:17 p.m.