residuals
Usage
# S4 method for 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
#> all -0.0108789 -0.0589731 0.0043977 0.1686388 0.0552120 -0.0281764
#> year
#> age 1963 1964 1965 1966 1967 1968
#> all 0.1230334 -0.1588650 0.1178664 -0.0533698 0.2165916 0.0444650
#> year
#> age 1969 1970 1971 1972 1973 1974
#> all 0.1146472 -0.0569631 0.0340476 -0.1488198 -0.0871604 0.0893161
#> year
#> age 1975 1976 1977 1978 1979 1980
#> all 0.0820421 -0.1366244 0.1660949 -0.1495924 -0.1057146 0.1078429
#> year
#> age 1981 1982 1983 1984 1985 1986
#> all 0.0716095 -0.0749412 0.1019636 0.1266241 -0.0059314 -0.0064608
#> year
#> age 1987 1988 1989 1990 1991 1992
#> all 0.0939218 0.1281953 0.0546810 0.0121466 -0.0518721 0.0422410
#> year
#> age 1993 1994 1995 1996 1997 1998
#> all 0.0915435 0.0114923 -0.1623184 0.0558999 -0.0717652 0.1263555
#> year
#> age 1999 2000 2001 2002 2003 2004
#> all 0.2495706 -0.1567068 0.1268930 -0.1281268 0.0426292 -0.1292239
#> year
#> age 2005 2006 2007 2008 2009 2010
#> all -0.0687038 -0.0750960 -0.0980274 -0.0130738 0.0549904 -0.1086788
#> year
#> age 2011 2012 2013 2014 2015 2016
#> all 0.1060384 0.0137913 -0.0438652 0.1281073 0.0811740 0.1201914
#> year
#> age 2017
#> all 0.0176347
#>
#> 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
#> all 0.3684981 0.2952185 0.2251625 0.2127320 0.1596261 0.0880482
#> year
#> age 1963 1964 1965 1966 1967 1968
#> all 0.0674997 -0.0211240 0.0235204 0.0026447 0.0229652 0.0170615
#> year
#> age 1969 1970 1971 1972 1973 1974
#> all 0.0421306 0.0314899 0.0424563 -0.0188638 -0.0074573 0.0039738
#> year
#> age 1975 1976 1977 1978 1979 1980
#> all -0.0031742 0.0856788 -0.0110329 0.1117918 0.0516109 0.0257718
#> year
#> age 1981 1982 1983 1984 1985 1986
#> all 0.0445782 0.2210007 0.2750476 0.4861785 1.4095564 2.9683767
#> year
#> age 1987 1988 1989 1990 1991 1992
#> all 4.0807817 4.2365213 3.3127507 1.4723064 0.6576836 0.1209183
#> year
#> age 1993 1994 1995 1996 1997 1998
#> all 0.0149143 0.0085550 0.0049861 0.0920652 -0.0052623 -0.0092081
#> year
#> age 1999 2000 2001 2002 2003 2004
#> all -0.0311314 -0.0200036 0.1362068 -0.0098510 0.0075256 -0.0031891
#> year
#> age 2005 2006 2007 2008 2009 2010
#> all 0.1348259 0.1477090 0.1798691 0.1672035 0.1825749 0.0916176
#> year
#> age 2011 2012 2013 2014 2015 2016
#> all 0.1785514 0.0765191 0.0209775 0.0739139 0.0724932 0.1163009
#> year
#> age 2017
#> all 0.1137737
#>
#> 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
#> all -857.13 -5393.41 461.56 18308.00 6421.19 -3609.01 16301.52
#> year
#> age 1964 1965 1966 1967 1968 1969 1970
#> all -25403.41 16834.30 -8895.40 30082.49 6515.82 15833.86 -8008.18
#> year
#> age 1971 1972 1973 1974 1975 1976 1977
#> all 4727.48 -23971.67 -13798.71 13499.56 13027.40 -25748.59 25379.66
#> year
#> age 1978 1979 1980 1981 1982 1983 1984
#> all -28748.94 -19251.51 18881.15 12749.58 -14975.76 20612.00 27148.77
#> year
#> age 1985 1986 1987 1988 1989 1990 1991
#> all -1469.83 -1809.87 27654.00 37929.74 15540.02 3025.58 -11616.34
#> year
#> age 1992 1993 1994 1995 1996 1997 1998
#> all 7969.97 15708.76 1728.24 -23373.75 7161.07 -11323.74 20325.95
#> year
#> age 1999 2000 2001 2002 2003 2004 2005
#> all 37693.24 -24768.93 15266.75 -19658.05 6428.16 -19320.06 -8146.72
#> year
#> age 2006 2007 2008 2009 2010 2011 2012
#> all -8724.02 -10790.58 -1492.26 6190.75 -13641.52 12044.82 1806.19
#> year
#> age 2013 2014 2015 2016 2017
#> all -6325.14 16803.70 10707.83 14860.14 2183.64
#>
#> 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
#> all -0.105966 -0.574427 0.042836 1.642626 0.537792 -0.274452 1.198406
#> year
#> age 1964 1965 1966 1967 1968 1969 1970
#> all -1.547424 1.148077 -0.519849 2.109709 0.433111 1.116721 -0.554849
#> year
#> age 1971 1972 1973 1974 1975 1976 1977
#> all 0.331641 -1.449578 -0.848985 0.869983 0.799131 -1.330789 1.617846
#> year
#> age 1978 1979 1980 1981 1982 1983 1984
#> all -1.457103 -1.029712 1.050443 0.697512 -0.729964 0.993175 1.233381
#> year
#> age 1985 1986 1987 1988 1989 1990 1991
#> all -0.057774 -0.062931 0.914845 1.248685 0.532620 0.118314 -0.505260
#> year
#> age 1992 1993 1994 1995 1996 1997 1998
#> all 0.411449 0.891679 0.111941 -1.581061 0.544492 -0.699028 1.230765
#> year
#> age 1999 2000 2001 2002 2003 2004 2005
#> all 2.430940 -1.526401 1.236001 -1.248018 0.415229 -1.258704 -0.669209
#> year
#> age 2006 2007 2008 2009 2010 2011 2012
#> all -0.731472 -0.954836 -0.127346 0.535634 -1.058585 1.032866 0.134334
#> year
#> age 2013 2014 2015 2016 2017
#> all -0.427269 1.247829 0.790675 1.170724 0.171770
#>
#> 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
#> all 9.4504 9.0066 9.5959 11.3087 10.0961 9.2883 10.8046 8.1504 10.7489
#> year
#> age 1966 1967 1968 1969 1970 1971 1972 1973 1974
#> all 9.0573 11.8642 9.9882 10.7143 9.0248 9.8847 8.2327 8.7563 10.4463
#> year
#> age 1975 1976 1977 1978 1979 1980 1981 1982 1983
#> all 10.3706 8.3337 11.2800 8.2264 8.5953 10.6417 10.2630 8.8640 10.5793
#> year
#> age 1984 1985 1986 1987 1988 1989 1990 1991 1992
#> all 10.8434 9.4973 9.4922 10.4946 10.8605 10.0907 9.6705 9.0708 9.9660
#> year
#> age 1993 1994 1995 1996 1997 1998 1999 2000 2001
#> all 10.4696 9.6642 8.1223 10.1030 8.8922 10.8405 12.2620 8.1680 10.8463
#> year
#> age 2002 2003 2004 2005 2006 2007 2008 2009 2010
#> all 8.4048 9.9698 8.3956 8.9194 8.8626 8.6617 9.4297 10.0938 8.5699
#> year
#> age 2011 2012 2013 2014 2015 2016 2017
#> all 10.6225 9.6864 9.1437 10.8595 10.3616 10.7739 9.7237
#>
#> units:
rstudent(catch(ple4), fit)
#> An object of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1957 1958 1959 1960 1961 1962
#> all 0.3684981 0.2952185 0.2251625 0.2127320 0.1596261 0.0880482
#> year
#> age 1963 1964 1965 1966 1967 1968
#> all 0.0674997 -0.0211240 0.0235204 0.0026447 0.0229652 0.0170615
#> year
#> age 1969 1970 1971 1972 1973 1974
#> all 0.0421306 0.0314899 0.0424563 -0.0188638 -0.0074573 0.0039738
#> year
#> age 1975 1976 1977 1978 1979 1980
#> all -0.0031742 0.0856788 -0.0110329 0.1117918 0.0516109 0.0257718
#> year
#> age 1981 1982 1983 1984 1985 1986
#> all 0.0445782 0.2210007 0.2750476 0.4861785 1.4095564 2.9683767
#> year
#> age 1987 1988 1989 1990 1991 1992
#> all 4.0807817 4.2365213 3.3127507 1.4723064 0.6576836 0.1209183
#> year
#> age 1993 1994 1995 1996 1997 1998
#> all 0.0149143 0.0085550 0.0049861 0.0920652 -0.0052623 -0.0092081
#> year
#> age 1999 2000 2001 2002 2003 2004
#> all -0.0311314 -0.0200036 0.1362068 -0.0098510 0.0075256 -0.0031891
#> year
#> age 2005 2006 2007 2008 2009 2010
#> all 0.1348259 0.1477090 0.1798691 0.1672035 0.1825749 0.0916176
#> year
#> age 2011 2012 2013 2014 2015 2016
#> all 0.1785514 0.0765191 0.0209775 0.0739139 0.0724932 0.1163009
#> year
#> age 2017
#> all 0.1137737
#>
#> units: