plot.Mort1Dsmooth {MortalitySmooth} | R Documentation |
It produces a plot where the x-axis is the predictor of the given
Mort1Dsmooth
object and the y-axis is either the actual and
fitted log-rates, or the actual and fitted counts.
## S3 method for class 'Mort1Dsmooth' ## S3 method for class 'Mort1Dsmooth': plot(x, type = c("logrates", "deaths"), ...)
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 . |
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 can be change to enhance the output. Only
exceptions are the x
values, y
values, and the
ylim
of the main plot, and the arguments for the fitted lines.
None. Function produces a plot
Carlo G Camarda
Mort1Dsmooth
for computing
Mort1Dsmooth.object
, plot
, par
.
# 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, "deaths") plot(fit, "logrates") par(mfrow=c(1,1))