plot_pollutant: Plot Pollutant

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

Description

Plot the daily series of contaminant concentrations.

Usage

plot_pollutant(x, df = 4, gaps = FALSE, type = "l",
	title = NULL, date.format = "%d/%m/%Y", new = TRUE, ...)

Arguments

x	a quoted string with the name of the variable of pollutant concentrations
df	an integer with the degrees of freedom of the spline. If set to 0, no line is plotted
gaps	a logical indicating whether .ares.selection should be honoured
type	a string indicating the type of graphic. Use "p" for points and "l" for line. Default is "l". See plot
title	a string supplying a title for the graphic. If NULL, an automatic title is generated
date.format	a string indicating the date format for the horizontal axis. Default is dd/mm/yyyy. See strptime for more options
new	if TRUE a new graph window is opened
...	further options for plot

Details

This function and plot_event are essentially the same, only some default options differ. There are two of them for convenience only.

Value

This function does not return a value.

Author(s)

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

References

Schwartz, J., Spix, C., Touloumi, G. et al. (1996) Methodological issues in studies of air pollution and daily counts of deaths or hospital admissions. J Epidemiol. Community Health 50 (suppl 1), S12–S18.

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

Peng, R., Dominici, F. (2008) Statistical methods for environmental epidemiology with R.

See Also

plot,smooth.spline,setup

Examples

data(admrio)
setup(admrio,"date")
plot_pollutant("pm10",df=7)

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