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.
an object of class "Mort1Dsmooth", usually, a result of
a call to
the type of plot which should be returned. The
other plotting parameters passed to
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
Plotting parameters are given and cannot be changed.
None. Function produces a plot
Carlo G Camarda
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))
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.