| plot.resStMoMo {StMoMo} | R Documentation | 
Plot the residuals of a Stochastic Mortality Model
Description
Plots the deviance residuals of a Stochastic Mortality Model which are 
of class "resStMoMo". Three types of plots
are available: scatter plot of residuals by age, period and cohort,
colour map (heatmap) of the residuals, and a black and white signplot 
of the residuals.
Usage
## S3 method for class 'resStMoMo'
plot(x, type = c("scatter", "colourmap", 
                                            "signplot"), 
                                reslim = NULL, plotAge = TRUE, 
                                plotYear = TRUE, plotCohort  = TRUE, 
                                pch = 20, col = NULL, ...)
Arguments
| x | an object of class  | 
| type | the type of the plot. The alternatives are 
 | 
| reslim | optional numeric vector of length 2, giving the range of the residuals. | 
| plotAge | logical value indicating if the age scatter plot should be 
produced. This is only used when  | 
| plotYear | logical value indicating if the calendar year scatter plot 
should be produced. This is only used when  | 
| plotCohort | logical value indicating if the cohort scatter plot 
should be produced. This is only used when  | 
| pch | optional symbol to use for the points in a scatterplot. 
This is only used when  | 
| col | optional colours to use in plotting. If 
 | 
| ... | other plotting parameters to be passed to the plotting functions. This can be used to control the appearance of the plots. | 
Details
When type = "scatter" scatter plots of the residuals against age, 
calendar year and cohort (year of birth) are produced. 
When type = "colourmap" a two dimensional colour map of the 
residuals is plotted. This is produced using function 
image.plot. See image.plot 
for further parameters that can be passed to this type of plots.
When type = "signplot" a two dimensional black and white map of the
residuals is plotted with dark grey representing negative residuals and 
light grey representing positive residuals. This is produced using 
function image.default. 
@seealso residuals.fitStMoMo
Examples
CBDfit <- fit(cbd(), data = central2initial(EWMaleData), ages.fit = 55:89)
CBDres <- residuals(CBDfit)
plot(CBDres)
plot(CBDres, type = "signplot")
plot(CBDres, type = "colourmap")