Description Usage Arguments Details Value Author(s) See Also Examples
View source: R/plot.Mort2Dsmooth.R
It produces two level plots, sidebyside, where the x and yaxis are
the predictors (x
and y
) of the given
Mort2Dsmooth
object and the numeric response is either the
matrices of actual and fitted logrates, or the matrices of actual and
fitted counts.
1 2 3 4 5 6 7 8 
x 
an object of class "Mort2Dsmooth", usually, a result of
a call to 
type 
the type of plot which should be returned. The
alternatives are: 
palette 
a string with the color palette for creating a vector
of contiguous colors. Default: 
... 
other plotting parameters passed to

The function provides a simple tool for checking the outcomes of a
Mort2Dsmooth
object. In a Poisson setting, one would commonly
look at rates in logscale, but actual and fitted counts can be
plotted too.
The function uses levelplot
from package lattice
to
construct the two level plots sidebyside. Plotting
parameters are given and cannot be changed. The only expection is the
color palette: five different palletes are available and described in
the associated documentation: the default rainbow
as
well as heat.colors
, terrain.colors
, topo.colors
,
and cm.colors
.
A palette with 9 colors is chosen and the breaks for the level plot are chosen according to the deciles of distributions of actual and fitted logrates (counts).
None. Function produces a plot.
Carlo G Camarda
Mort2Dsmooth
for computing
Mort2Dsmooth.object
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15  ## selected data
ages < 50:100
years < 1970:2006
death < selectHMDdata("Denmark", "Deaths", "Females",
ages = ages, years = years)
exposure < selectHMDdata("Denmark", "Exposures", "Females",
ages = ages, years = years)
## fit
fit < Mort2Dsmooth(x=ages, y=years, Z=death,
offset=log(exposure),
method=3, lambdas=c(100,500))
## plotting logdeath rates
plot(fit, palette="terrain.colors")
## plotting death counts
plot(fit, type="death")

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