Normal Q-Q Plot of surveys' indices

Method to produce qqplots of Pearson residuals against theoretical distribution of surveys' indices.

# S4 method for bbmFitresiduals,missing
qqmath(x, data = missing, ...)

Arguments

x: An bbmFitresiduals object with the Pearson residuals.
data: Ignored.
...: Additional argument list that might never be used.

Value

A qqplot with stardardized log residuals against a theoretical distribution.

Examples


# Load data
data(ane)

# Run the assessment
obj <- bbm( catch.ane, indicesB=indicesB.ane, indicesP=indicesP.ane, control=control.ane, inits=inits.ane)
#> outer mgc:  2.991218 
#> outer mgc:  2.983554 
#> outer mgc:  2.994433 
#> outer mgc:  2.980339 
#> outer mgc:  2.989589 
#> outer mgc:  2.985185 
#> outer mgc:  2.990111 
#> outer mgc:  2.984663 
#> outer mgc:  2.986485 
#> outer mgc:  2.988286 
#> outer mgc:  2.987929 
#> outer mgc:  2.986843 
#> outer mgc:  2.987386 
#> outer mgc:  2.987386 
#> outer mgc:  2.987386 
#> outer mgc:  2.987386 
#> outer mgc:  2.987386 
#> outer mgc:  2.987386 
#> outer mgc:  2.987386 
#> outer mgc:  2.987386 
#> outer mgc:  2.987385 
#> outer mgc:  2.987387 
#> outer mgc:  2.987385 
#> outer mgc:  2.987387 
#> outer mgc:  2.987382 
#> outer mgc:  2.98739 
#> outer mgc:  2.987383 
#> outer mgc:  2.987388 
#> outer mgc:  2.98738 
#> outer mgc:  2.987392 
#> outer mgc:  2.987369 
#> outer mgc:  2.987403 
#> outer mgc:  2.987363 
#> outer mgc:  2.987409 
#> outer mgc:  2.987322 
#> outer mgc:  2.98745 
#> outer mgc:  2.98723 
#> outer mgc:  2.987541 
#> outer mgc:  2.987124 
#> outer mgc:  2.987647 
#> outer mgc:  2.986773 
#> outer mgc:  2.987998 
#> outer mgc:  2.986082 
#> outer mgc:  2.988689 
#> outer mgc:  2.986608 
#> outer mgc:  2.988164 
#> outer mgc:  3.008474 
#> outer mgc:  2.96631 
#> outer mgc:  2.986905 
#> outer mgc:  2.987863 
#> outer mgc:  2.986374 
#> outer mgc:  2.988397 
#> outer mgc:  2.986725 
#> outer mgc:  2.988047 
#> outer mgc:  2.9823 
#> outer mgc:  2.992471 
#> outer mgc:  2.985849 
#> outer mgc:  2.988921 
#> outer mgc:  2.987386 
#> outer mgc:  2.991218 
#> outer mgc:  2.983554 
#> outer mgc:  2.994433 
#> outer mgc:  2.980339 
#> outer mgc:  2.989589 
#> outer mgc:  2.985185 
#> outer mgc:  2.990111 
#> outer mgc:  2.984663 
#> outer mgc:  2.986485 
#> outer mgc:  2.988286 
#> outer mgc:  2.987929 
#> outer mgc:  2.986843 
#> outer mgc:  2.987386 
#> outer mgc:  2.987386 
#> outer mgc:  2.987386 
#> outer mgc:  2.987386 
#> outer mgc:  2.987386 
#> outer mgc:  2.987386 
#> outer mgc:  2.987386 
#> outer mgc:  2.987386 
#> outer mgc:  2.987385 
#> outer mgc:  2.987387 
#> outer mgc:  2.987385 
#> outer mgc:  2.987387 
#> outer mgc:  2.987382 
#> outer mgc:  2.98739 
#> outer mgc:  2.987383 
#> outer mgc:  2.987388 
#> outer mgc:  2.98738 
#> outer mgc:  2.987392 
#> outer mgc:  2.987369 
#> outer mgc:  2.987403 
#> outer mgc:  2.987363 
#> outer mgc:  2.987409 
#> outer mgc:  2.987322 
#> outer mgc:  2.98745 
#> outer mgc:  2.98723 
#> outer mgc:  2.987541 
#> outer mgc:  2.987124 
#> outer mgc:  2.987647 
#> outer mgc:  2.986773 
#> outer mgc:  2.987998 
#> outer mgc:  2.986082 
#> outer mgc:  2.988689 
#> outer mgc:  2.986608 
#> outer mgc:  2.988164 
#> outer mgc:  3.008474 
#> outer mgc:  2.96631 
#> outer mgc:  2.986905 
#> outer mgc:  2.987863 
#> outer mgc:  2.986374 
#> outer mgc:  2.988397 
#> outer mgc:  2.986725 
#> outer mgc:  2.988047 
#> outer mgc:  2.9823 
#> outer mgc:  2.992471 
#> outer mgc:  2.985849 
#> outer mgc:  2.988921 
#> outer mgc:  282597.9 
#> Warning: NaNs produced
#> Warning: NaNs produced

# Residuals
res <- residuals(obj)
qqmath(res)