qqplot of standardized log residuals

Method to produce qqplots of standardized residuals

# S4 method for class 'a4aFitResiduals,missing'
qqmath(x, data = missing, ...)

Arguments

x

an a4aFitResiduals object with the standardized residuals

data

ignored

...

additional argument list that might never be used

Value

a qqplot with stardardized log residuals

Examples

data(ple4)
data(ple4.index)
obj <- sca(ple4, FLIndices(ple4.index))
#> Warning: *** ~te(age, year, k = c(6, 30), bs = "tp") + s(age, k = 6) has 4 too many parameter(s)!!
#>     i will remove the redundant ones:
#> 	s(age).2
#> 	s(age).3
#> 	s(age).4
#> 	s(age).5
flqs <- residuals(obj, ple4, FLIndices(idx=ple4.index))
qqmath(flqs)