Method to produce scatterplots of aggregated catch residuals

# S4 method for class 'a4aFitCatchDiagn,missing'
plot(x, y = missing, probs = c(0.1, 0.9), type = "all", ...)

Arguments

x

an a4aFit object with the model fit

y

the FLStock object used to fit the model

...

additional argument list that might never be used

Value

a plot with stardardized log residuals

Examples

data(ple4)
data(ple4.index)
fit <- sca(ple4, 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 <- computeCatchDiagnostics(fit, ple4)
plot(flqs)