plot.Mort1Dsmooth: Plot of the Mort1Dsmooth outcomes

Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/plot.Mort1Dsmooth.R

Description

It produces a plot where the x-axis is the predictor of the given Mort1Dsmooth object and the y-axis is both actual and fitted log-rates, or actual and fitted counts.

Usage

1
2
## S3 method for class 'Mort1Dsmooth'
plot(x, Type = c("logrates", "deaths"), ...)

Arguments

x

an object of class "Mort1Dsmooth", usually, a result of a call to Mort1Dsmooth.

Type

the type of plot which should be returned. The alternatives are: logrates (default) and death.

...

other plotting parameters passed to plot. Not in used.

Details

The function provides a simple tool for checking the outcomes of a Mort1Dsmooth object. In a Poisson setting, one would commonly look at rates in log-scale, but actual and fitted counts can be plotted too.

Plotting parameters are given and cannot be changed.

Value

None. Function produces a plot

Author(s)

Carlo G Camarda

See Also

Mort1Dsmooth for computing Mort1Dsmooth.object.

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
## selected data
years <- 1930:2006
death <- selectHMDdata("Denmark", "Deaths", "Females",
                       ages = 60, years = years)
exposure <- selectHMDdata("Denmark", "Exposures", "Females",
                          ages = 60, years = years)
## fit
fit <- Mort1Dsmooth(x=years, y=death, offset=log(exposure),
                    method=3, lambda=100)
## plotting actual and fitted data
par(mfrow=c(1,2))
plot(fit)
plot(fit, "deaths")
par(mfrow=c(1,1))

MortalitySmooth documentation built on May 29, 2017, 7:11 p.m.