residuals
Usage
# S4 method for class 'FLQuant'
residuals(object, fit, type = "log", ...)Examples
data(ple4)
fit <- rlnorm(1, log(catch(ple4)), 0.1)
residuals(catch(ple4), fit)
#> An object of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1957 1958 1959 1960 1961 1962 1963 1964
#> all 0.11465 -0.05696 0.03405 -0.14882 -0.08716 0.08932 0.08204 -0.13662
#> year
#> age 1965 1966 1967 1968 1969 1970 1971 1972
#> all 0.16609 -0.14959 -0.10571 0.10784 0.07161 -0.07494 0.10196 0.12662
#> year
#> age 1973 1974 1975 1976 1977 1978 1979 1980
#> all -0.00593 -0.00646 0.09392 0.12820 0.05468 0.01215 -0.05187 0.04224
#> year
#> age 1981 1982 1983 1984 1985 1986 1987 1988
#> all 0.09154 0.01149 -0.16232 0.05590 -0.07177 0.12636 0.24957 -0.15671
#> year
#> age 1989 1990 1991 1992 1993 1994 1995 1996
#> all 0.12689 -0.12813 0.04263 -0.12922 -0.06870 -0.07510 -0.09803 -0.01307
#> year
#> age 1997 1998 1999 2000 2001 2002 2003 2004
#> all 0.05499 -0.10868 0.10604 0.01379 -0.04387 0.12811 0.08117 0.12019
#> year
#> age 2005 2006 2007 2008 2009 2010 2011 2012
#> all 0.01763 0.12711 0.03462 -0.10180 0.13469 -0.07315 -0.07712 0.05593
#> year
#> age 2013 2014 2015 2016 2017
#> all -0.01437 -0.12964 0.00492 0.02926 -0.04734
#>
#> units: t
residuals(catch(ple4), fit, type="student")
#> An object of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1957 1958 1959 1960 1961 1962 1963
#> all 0.359290 0.260165 0.210088 0.071413 0.089405 0.119000 0.051942
#> year
#> age 1964 1965 1966 1967 1968 1969 1970
#> all -0.011118 0.027201 0.004849 -0.006949 0.025309 0.030998 0.025513
#> year
#> age 1971 1972 1973 1974 1975 1976 1977
#> all 0.054716 0.029232 0.006307 0.000204 -0.004564 -0.008509 -0.001516
#> year
#> age 1978 1979 1980 1981 1982 1983 1984
#> all 0.031451 0.028452 0.047563 0.023340 0.115614 0.619468 0.536709
#> year
#> age 1985 1986 1987 1988 1989 1990 1991
#> all 1.399429 1.771772 2.277688 6.314664 2.318363 1.748838 0.383788
#> year
#> age 1992 1993 1994 1995 1996 1997 1998
#> all 0.228040 0.068759 -0.002821 0.031105 0.062151 0.012481 0.035162
#> year
#> age 1999 2000 2001 2002 2003 2004 2005
#> all -0.006749 0.020888 0.066983 0.049812 0.011140 0.063496 0.154537
#> year
#> age 2006 2007 2008 2009 2010 2011 2012
#> all 0.207147 0.212497 0.113692 0.188968 0.098374 0.092521 0.082443
#> year
#> age 2013 2014 2015 2016 2017
#> all 0.028558 0.001313 0.045830 0.077374 0.079660
#>
#> units:
rraw(catch(ple4), fit)
#> An object of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966
#> all 8488 -5204 3521 -18931 -10887 10791 11092 -21599 23171 -26183
#> year
#> age 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976
#> all -17225 15316 10102 -10632 13690 17768 -901 -1024 14827 21162
#> year
#> age 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986
#> all 8825 2151 -9192 7639 16139 2199 -37473 12410 -18383 33144
#> year
#> age 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996
#> all 68132 -53482 34802 -34257 9106 -26581 -12771 -11796 -13660 -1733
#> year
#> age 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
#> all 8143 -19659 17170 2000 -5745 17292 12009 15861 2002 13353
#> year
#> age 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
#> all 3565 -12151 14580 -9018 -9598 7173 -2042 -19343 674 3784
#> year
#> age 2017
#> all -6056
#>
#> units: t
rlogstandard(catch(ple4), fit)
#> An object of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1957 1958 1959 1960 1961 1962 1963 1964 1965
#> all 1.1634 -0.5780 0.3455 -1.5101 -0.8845 0.9063 0.8325 -1.3864 1.6854
#> year
#> age 1966 1967 1968 1969 1970 1971 1972 1973 1974
#> all -1.5180 -1.0727 1.0943 0.7267 -0.7605 1.0347 1.2849 -0.0602 -0.0656
#> year
#> age 1975 1976 1977 1978 1979 1980 1981 1982 1983
#> all 0.9531 1.3009 0.5549 0.1233 -0.5264 0.4286 0.9289 0.1166 -1.6471
#> year
#> age 1984 1985 1986 1987 1988 1989 1990 1991 1992
#> all 0.5672 -0.7282 1.2822 2.5325 -1.5902 1.2876 -1.3002 0.4326 -1.3113
#> year
#> age 1993 1994 1995 1996 1997 1998 1999 2000 2001
#> all -0.6972 -0.7620 -0.9947 -0.1327 0.5580 -1.1028 1.0760 0.1399 -0.4451
#> year
#> age 2002 2003 2004 2005 2006 2007 2008 2009 2010
#> all 1.3000 0.8237 1.2196 0.1789 1.2899 0.3513 -1.0330 1.3667 -0.7423
#> year
#> age 2011 2012 2013 2014 2015 2016 2017
#> all -0.7826 0.5675 -0.1458 -1.3155 0.0499 0.2969 -0.4804
#>
#> units:
rstandard(catch(ple4), fit)
#> An object of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968
#> all 11.23 9.46 10.36 8.63 9.18 10.95 10.87 8.74 11.83 8.62 9.01 11.16
#> year
#> age 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980
#> all 10.76 9.29 11.09 11.37 9.96 9.95 11.00 11.39 10.58 10.14 9.51 10.45
#> year
#> age 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992
#> all 10.98 10.13 8.52 10.59 9.32 11.37 12.86 8.56 11.37 8.81 10.45 8.80
#> year
#> age 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004
#> all 9.35 9.29 9.08 9.89 10.58 8.99 11.14 10.16 9.59 11.39 10.86 11.30
#> year
#> age 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
#> all 10.19 11.37 10.37 9.05 11.46 9.31 9.27 10.59 9.87 8.80 10.07 10.31
#> year
#> age 2017
#> all 9.55
#>
#> units:
rstudent(catch(ple4), fit)
#> An object of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1957 1958 1959 1960 1961 1962 1963
#> all 0.359290 0.260165 0.210088 0.071413 0.089405 0.119000 0.051942
#> year
#> age 1964 1965 1966 1967 1968 1969 1970
#> all -0.011118 0.027201 0.004849 -0.006949 0.025309 0.030998 0.025513
#> year
#> age 1971 1972 1973 1974 1975 1976 1977
#> all 0.054716 0.029232 0.006307 0.000204 -0.004564 -0.008509 -0.001516
#> year
#> age 1978 1979 1980 1981 1982 1983 1984
#> all 0.031451 0.028452 0.047563 0.023340 0.115614 0.619468 0.536709
#> year
#> age 1985 1986 1987 1988 1989 1990 1991
#> all 1.399429 1.771772 2.277688 6.314664 2.318363 1.748838 0.383788
#> year
#> age 1992 1993 1994 1995 1996 1997 1998
#> all 0.228040 0.068759 -0.002821 0.031105 0.062151 0.012481 0.035162
#> year
#> age 1999 2000 2001 2002 2003 2004 2005
#> all -0.006749 0.020888 0.066983 0.049812 0.011140 0.063496 0.154537
#> year
#> age 2006 2007 2008 2009 2010 2011 2012
#> all 0.207147 0.212497 0.113692 0.188968 0.098374 0.092521 0.082443
#> year
#> age 2013 2014 2015 2016 2017
#> all 0.028558 0.001313 0.045830 0.077374 0.079660
#>
#> units: