Description Usage Arguments Value Author(s) References See Also Examples
Plotting the dbkGrad
object produces a few different plots that are of interest. The different plots, created from various plottype
options, are described below:
1 2 3 4 5 6  ## S3 method for class 'dbkGrad'
plot(x, plottype = c("obsfit", "fitted", "observed", "exposure",
"residuals", "checksd"), plotstyle = c("mat", "level", "persp"),
restype = c("working", "proportional", "response", "deviance", "pearson"),
byage = TRUE, columns, rows, CI = TRUE, CBBonf = FALSE, CBSidak = FALSE,
logscale = TRUE, alphares = 0.05, col, ...)

x 
a 
plottype 
an optional character string. It specifies the type of plot to display and must be one of:

plotstyle 
an optional character string. It specifies the style of plot; it has no effect when

restype 
an optional character string.When
where 
rows, columns 
an optional numeric vector. It specifies the rows (columns) to plot. 
byage 
an optional logical. It selects the discrete variable of interest: 
logscale 
an optional logical;when TRUE (default), rates are plotted on log scale. 
CI 
an optional logical; if 
CBBonf 
an optional logical; does the same as 
CBSidak 
an optional logical; does the same as 
alphares 
an optional scalar.
When 
col 
a scalar or a vector with plotting colors. 
... 
additional arguments to be passed to or from methods. 
No values are returned from the plot function.
Angelo Mazza and Antonio Punzo
Bagnato L, Punzo A, Nicolis O (2012). The autodependogram: a graphical device to investigate serial dependences. Journal of Time Series Analysis, 33(2), 233254.
Bagnato L, De Capitani L, Punzo A (2013a). Detecting Serial Dependencies with the Reproducibility Probability Autodependogram. Advances in Statistical Analysis. doi:10.1007/s101820130208y.
Bagnato L, De Capitani L, Punzo A (2013b). Testing Serial Independence via DensityBased Measures of Divergence. Methodology and Computing in Applied Probability. doi:10.1007/s1100901393204.
Mazza A, Punzo A (2014) DBKGrad: An R Package for Mortality Rates Graduation by Discrete Beta Kernel Techniques. Journal of Statistical Software, Code Snippets, 572, 118.
DBKGradpackage
, dbkGrad
, ItalyM
, TSA:acf
, SDD:ADF
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16  data("ItalyM")
# unidimensional analysis
res1 < dbkGrad(obsq=obsq, limx=c(6,71), limy=104, exposure=population, bwtypex="EX", adaptx="ab")
plot(res1, plottype="obsfit", CI=FALSE, CBBonf=TRUE)
plot(res1, plottype="residuals", restype="pearson")
plot(res1, plottype="checksd", restype="pearson")
residuals(res1, type="pearson")
# bidimensional analysis
res2 < dbkGrad(obsq=obsq, limx=c(6,46), limy=c(60,80), exposure=population,
transformation="logit", bwtypex="VC", bwtypey="EX", hx=0.01, hy=0.008, adaptx="ab", adapty="b")
plot(res2, plottype="obsfit")
plot(res2, plottype="obsfit", plotstyle="persp", col="black")

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