stdlogres-methods.RdMethod to compute the standardized residuals on the log scale for index- and catch-at-age residuals in the a4a stock assessment framework.
stdlogres(obs, fit, ...)
# S4 method for FLQuant,FLQuant
stdlogres(obs, fit, ...)an FLQuant object with the observations
an FLQuant object with the fitted value
additional argument list that might never be used
an FLQuant with stardardized log residuals
data(ple4)
data(ple4.index)
obj <- sca(ple4, FLIndices(ple4.index))
flqs <- residuals(obj, ple4, FLIndices(idx=ple4.index))
stdlogres(catch.n(ple4), catch.n(obj))
#> An object of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1957 1958 1959 1960 1961 1962
#> 1 0.0624460 1.4337670 -0.6475758 -0.9430076 0.8482516 1.1497988
#> 2 -3.6750904 1.1966265 -0.8716110 -0.5628487 0.3714284 -0.9028643
#> 3 5.4531291 0.7355036 -1.4505221 -0.1970040 1.8776856 1.3555037
#> 4 -5.3852952 3.4307752 -1.1514049 -0.4790014 -0.5814429 -0.7306477
#> 5 4.0470175 -5.1683505 3.0016741 0.9602419 -0.2101374 -0.6853809
#> 6 -4.0781766 3.9856302 -3.7594035 1.4472434 -0.8170239 0.8754992
#> 7 3.9248014 -3.6101853 3.7598850 -2.2820307 -0.1880780 0.2455718
#> 8 -1.5353082 -0.0772070 -1.3310404 4.7734289 -1.2707702 -1.6509406
#> 9 -2.5073451 -1.5134513 -1.4375399 -2.5331089 0.7685812 -2.7717615
#> 10 2.1401786 1.2301512 0.0031147 -0.1124605 0.9268993 1.0808395
#> year
#> age 1963 1964 1965 1966 1967 1968
#> 1 -0.6712522 -0.6374165 1.4152592 0.8506819 -1.2408546 -0.1797823
#> 2 -2.0227192 -0.4518900 0.1728113 -1.3462869 -1.6714840 -0.0738228
#> 3 0.7023723 1.3019904 1.7887346 1.3730450 0.5743093 1.0649850
#> 4 -1.0031620 -1.3347234 -1.3323630 -0.8503724 -0.7250932 -1.1360348
#> 5 0.8283077 1.2439634 0.5143678 0.3190413 0.4821624 0.3189002
#> 6 0.2723174 -0.5875047 -1.4475404 -0.5071040 0.8803975 0.3657971
#> 7 1.1885875 -0.4473271 -0.4655619 0.0467407 0.2307395 0.1398891
#> 8 0.2169052 2.9454174 1.7029852 0.5705933 -0.0615327 0.3018571
#> 9 -3.5757311 -2.9387470 -2.7070732 -3.6197580 -1.9631726 -1.0553632
#> 10 -2.0259554 -5.3829350 -2.3122071 1.4170256 1.2471881 1.0265886
#> year
#> age 1969 1970 1971 1972 1973 1974
#> 1 1.8705316 -0.2532815 -1.3690481 0.5489280 1.1474962 -0.6601395
#> 2 0.1419244 -1.3640939 -0.2966545 0.6788893 -0.1842090 -0.5620482
#> 3 1.6050914 0.6023824 -0.3418070 0.3185251 0.7422709 0.0603916
#> 4 -0.9041219 -0.2720733 -0.5830523 -0.7390820 0.1483435 0.3430778
#> 5 0.1544642 0.5624650 0.6973239 0.1423156 -0.1272805 0.3268549
#> 6 -0.7963090 -0.7779077 0.1246423 0.2153134 -0.4675943 -0.3809952
#> 7 -0.2834090 -0.5926124 -0.4972908 -0.2113092 -0.0599757 -0.1425349
#> 8 1.0857621 0.9786044 0.3966751 0.2278932 0.4205184 0.3709604
#> 9 -1.2233399 -0.6473902 0.3871888 0.6250028 -0.0416854 -0.3872802
#> 10 -0.2477416 -0.8599327 -0.3062744 0.0248062 -0.3459197 -0.6509076
#> year
#> age 1975 1976 1977 1978 1979 1980
#> 1 -0.7600373 0.6100474 0.3188955 -0.3545649 0.0259886 0.1041640
#> 2 0.2410558 0.3367407 -0.1400521 -0.1288475 -0.2527589 -0.4645401
#> 3 -0.7274268 -0.0752963 0.6371217 0.1255672 -0.1124967 0.4883628
#> 4 -0.5323303 -0.2810054 0.6080937 -0.0670173 -1.0472701 -0.4907376
#> 5 0.2319556 -0.1742495 -0.0137289 0.3104567 0.2712474 0.2025553
#> 6 0.2266624 0.0940291 -0.2844468 -0.1228359 0.1551815 -0.2602997
#> 7 -0.2407479 -0.0424209 0.0350819 -0.2408169 -0.3559831 -0.0868236
#> 8 0.0443790 0.0439984 0.3725653 0.3295714 0.1181489 0.3462991
#> 9 0.0985668 0.5350713 0.1613158 -0.3983968 -0.3525380 0.0694081
#> 10 -0.2302248 0.1453025 -0.0666331 -0.3192778 -0.0887350 0.2069380
#> year
#> age 1981 1982 1983 1984 1985 1986
#> 1 -0.1827898 0.6099574 -0.0738832 -0.8888847 0.2930463 1.1372175
#> 2 0.1202183 0.3721380 -0.6293764 -0.1679267 0.8203121 -0.1033524
#> 3 0.8468194 -0.0200559 -0.5064765 -0.2016971 0.5254355 0.4458819
#> 4 0.2346459 -0.2534380 -0.3280378 0.2400839 0.1080350 -0.3814347
#> 5 0.3631325 0.1918280 -0.1881816 -0.0094491 0.2632793 0.1076835
#> 6 -0.4634596 -0.0939167 -0.0347260 -0.0865174 0.0611587 -0.0687655
#> 7 0.1814694 0.0687922 -0.1251376 -0.0803832 0.0078550 -0.1090245
#> 8 0.5043971 -0.0369914 -0.3632695 0.1256960 0.5623144 0.3549491
#> 9 0.1327780 -0.1286621 -0.0809474 0.2401215 0.0868586 -0.5524717
#> 10 0.0081442 -0.2359660 -0.1470295 0.1352939 0.1201918 -0.1223049
#> year
#> age 1987 1988 1989 1990 1991 1992
#> 1 -0.5271516 -1.0860706 0.9390856 1.2296632 -0.8570737 -0.9581637
#> 2 -1.2579220 -0.1798499 0.5297582 -0.6456463 -1.3443992 -0.2660056
#> 3 -0.0039999 0.3541197 1.0882458 1.1902173 0.3695250 0.2874699
#> 4 -0.5524500 -0.6414086 -0.7962567 -0.6184222 -0.7897107 -1.2107645
#> 5 0.2145583 0.6039706 0.6140931 0.4126775 0.5804161 0.6940266
#> 6 -0.5011379 -0.2531651 -0.0206271 -0.4420564 -0.5703817 -0.0148827
#> 7 -0.3732841 -0.3993598 -0.3042905 -0.5181806 -0.8205645 -0.5568152
#> 8 0.2948925 0.8090955 1.1901850 1.2290070 0.9872590 0.8275732
#> 9 -0.6426618 -0.1925757 -0.2867521 -0.8165545 -0.8119874 -0.2899415
#> 10 -0.1059564 0.1031273 0.0884194 -0.0424195 -0.2791583 0.1187715
#> year
#> age 1993 1994 1995 1996 1997 1998
#> 1 1.2549289 0.8878771 -0.9794329 -0.5955797 0.8319776 0.9373592
#> 2 0.4457991 -0.6683474 -0.8483089 -0.1468750 0.0442645 -0.4373670
#> 3 1.2661681 1.1686603 -0.0987012 0.0290242 1.4312109 1.9807296
#> 4 -0.7923794 -0.0872368 -0.6041624 -1.4607518 -0.9963320 -0.4089766
#> 5 0.4059635 0.2763141 0.5311767 0.7974508 0.8765707 0.9218246
#> 6 0.0423964 -0.6182545 -0.6500516 -0.1421941 -0.5683747 -1.2088488
#> 7 -0.0209969 -0.1271073 -0.5987066 -0.6600431 -0.4561980 -0.5378081
#> 8 0.7660611 0.5414895 0.4402614 0.7862974 1.5097588 1.6019392
#> 9 -0.0769183 -0.2563927 -0.0426509 0.3817959 0.2405754 -0.5398104
#> 10 0.1989964 -0.0980864 -0.2615290 -0.5792404 -1.0260393 -1.1731644
#> year
#> age 1999 2000 2001 2002 2003 2004
#> 1 -0.4111435 -0.9300099 0.4490561 1.2753799 -0.1273494 -1.1938996
#> 2 -0.9683787 -0.6770203 0.6211931 -0.1367836 -1.8167833 -1.2312329
#> 3 -0.0377012 -0.5646569 1.2578705 1.4304555 0.6484325 0.4118992
#> 4 -1.0901755 -0.9468593 0.0407380 -0.3991519 -1.6212525 -1.4786169
#> 5 0.6255384 0.0773836 0.2394447 0.8546180 0.8620212 0.4913588
#> 6 -0.4040810 0.6236159 -0.0607087 -0.9846836 -0.5828824 0.1331074
#> 7 -0.7142628 -0.3392181 0.2018528 -0.2552639 -0.6202491 -0.2516353
#> 8 0.5963401 0.0706540 1.0315420 1.7757437 0.8278315 -0.1426331
#> 9 -1.1683374 -0.7679158 -0.0413811 -0.0456449 -0.6156344 -0.8762278
#> 10 -0.5613900 0.2553008 0.6856247 0.5149696 0.2062956 0.3421398
#> year
#> age 2005 2006 2007 2008 2009 2010
#> 1 0.6342514 1.3631272 -0.1669792 -1.2872131 0.1352270 1.9791727
#> 2 0.6323504 0.0470412 -1.8253711 -1.1041019 1.1814747 0.7086536
#> 3 1.3610615 1.5697193 0.1892477 0.1388289 0.6750040 0.1201356
#> 4 -0.3610429 -0.1090244 -1.0516111 -1.0105728 0.4873816 1.0355035
#> 5 0.3262309 0.2950814 0.4481028 0.1869565 -0.4329608 -0.6362292
#> 6 0.1387244 -0.3555097 -0.4781932 0.1875744 0.2795048 -0.3215539
#> 7 0.0486542 0.0873290 -0.0060444 0.4538487 1.3641526 1.3442297
#> 8 0.2689779 0.7044613 0.1434890 -0.8060016 -1.1871199 -0.7074071
#> 9 -0.4433521 -0.4086429 -1.1413273 -1.5209729 -1.2815188 -1.0822813
#> 10 0.5844914 0.4256710 0.2254588 0.5235196 0.9889466 0.7856238
#> year
#> age 2011 2012 2013 2014 2015 2016
#> 1 -0.5438637 -2.2407754 1.5235290 1.7216328 -2.2154666 0.3717668
#> 2 -1.5907437 -0.5992120 1.5820874 -0.7855880 -1.6954356 2.9516097
#> 3 -0.4125017 -0.2255334 1.2180666 0.9718334 -1.4258795 -0.7522559
#> 4 0.1254008 -0.9981534 -0.9598977 0.5052219 0.7978006 -0.3952750
#> 5 -0.1481546 0.5703916 0.4258517 -0.2427443 -0.2077400 0.1338192
#> 6 -0.1620226 0.1731215 -0.0072760 -0.3456554 -0.5152839 -0.3490907
#> 7 0.2060807 -0.6777470 -0.4329519 0.3670578 0.6515981 0.2314646
#> 8 -0.0896210 0.3968841 0.7605732 0.3227322 -0.4085854 -0.0445834
#> 9 -0.9182448 -0.4990543 -0.1222427 -0.4283980 -1.2954067 -1.4534411
#> 10 0.1366689 -0.2990086 -0.0274769 0.3281887 0.2974073 0.0515988
#> year
#> age 2017
#> 1 0.0319304
#> 2 -0.4645886
#> 3 -0.1573075
#> 4 0.1451030
#> 5 0.6401501
#> 6 -1.2029148
#> 7 -0.3657997
#> 8 1.7971956
#> 9 -0.3707858
#> 10 -0.1830984
#>
#> units:
# which is the same as the following (because residuals() uses stdlogres):
flqs$catch.n
#> An object of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1957 1958 1959 1960 1961 1962
#> 1 0.0624460 1.4337670 -0.6475758 -0.9430076 0.8482516 1.1497988
#> 2 -3.6750904 1.1966265 -0.8716110 -0.5628487 0.3714284 -0.9028643
#> 3 5.4531291 0.7355036 -1.4505221 -0.1970040 1.8776856 1.3555037
#> 4 -5.3852952 3.4307752 -1.1514049 -0.4790014 -0.5814429 -0.7306477
#> 5 4.0470175 -5.1683505 3.0016741 0.9602419 -0.2101374 -0.6853809
#> 6 -4.0781766 3.9856302 -3.7594035 1.4472434 -0.8170239 0.8754992
#> 7 3.9248014 -3.6101853 3.7598850 -2.2820307 -0.1880780 0.2455718
#> 8 -1.5353082 -0.0772070 -1.3310404 4.7734289 -1.2707702 -1.6509406
#> 9 -2.5073451 -1.5134513 -1.4375399 -2.5331089 0.7685812 -2.7717615
#> 10 2.1401786 1.2301512 0.0031147 -0.1124605 0.9268993 1.0808395
#> year
#> age 1963 1964 1965 1966 1967 1968
#> 1 -0.6712522 -0.6374165 1.4152592 0.8506819 -1.2408546 -0.1797823
#> 2 -2.0227192 -0.4518900 0.1728113 -1.3462869 -1.6714840 -0.0738228
#> 3 0.7023723 1.3019904 1.7887346 1.3730450 0.5743093 1.0649850
#> 4 -1.0031620 -1.3347234 -1.3323630 -0.8503724 -0.7250932 -1.1360348
#> 5 0.8283077 1.2439634 0.5143678 0.3190413 0.4821624 0.3189002
#> 6 0.2723174 -0.5875047 -1.4475404 -0.5071040 0.8803975 0.3657971
#> 7 1.1885875 -0.4473271 -0.4655619 0.0467407 0.2307395 0.1398891
#> 8 0.2169052 2.9454174 1.7029852 0.5705933 -0.0615327 0.3018571
#> 9 -3.5757311 -2.9387470 -2.7070732 -3.6197580 -1.9631726 -1.0553632
#> 10 -2.0259554 -5.3829350 -2.3122071 1.4170256 1.2471881 1.0265886
#> year
#> age 1969 1970 1971 1972 1973 1974
#> 1 1.8705316 -0.2532815 -1.3690481 0.5489280 1.1474962 -0.6601395
#> 2 0.1419244 -1.3640939 -0.2966545 0.6788893 -0.1842090 -0.5620482
#> 3 1.6050914 0.6023824 -0.3418070 0.3185251 0.7422709 0.0603916
#> 4 -0.9041219 -0.2720733 -0.5830523 -0.7390820 0.1483435 0.3430778
#> 5 0.1544642 0.5624650 0.6973239 0.1423156 -0.1272805 0.3268549
#> 6 -0.7963090 -0.7779077 0.1246423 0.2153134 -0.4675943 -0.3809952
#> 7 -0.2834090 -0.5926124 -0.4972908 -0.2113092 -0.0599757 -0.1425349
#> 8 1.0857621 0.9786044 0.3966751 0.2278932 0.4205184 0.3709604
#> 9 -1.2233399 -0.6473902 0.3871888 0.6250028 -0.0416854 -0.3872802
#> 10 -0.2477416 -0.8599327 -0.3062744 0.0248062 -0.3459197 -0.6509076
#> year
#> age 1975 1976 1977 1978 1979 1980
#> 1 -0.7600373 0.6100474 0.3188955 -0.3545649 0.0259886 0.1041640
#> 2 0.2410558 0.3367407 -0.1400521 -0.1288475 -0.2527589 -0.4645401
#> 3 -0.7274268 -0.0752963 0.6371217 0.1255672 -0.1124967 0.4883628
#> 4 -0.5323303 -0.2810054 0.6080937 -0.0670173 -1.0472701 -0.4907376
#> 5 0.2319556 -0.1742495 -0.0137289 0.3104567 0.2712474 0.2025553
#> 6 0.2266624 0.0940291 -0.2844468 -0.1228359 0.1551815 -0.2602997
#> 7 -0.2407479 -0.0424209 0.0350819 -0.2408169 -0.3559831 -0.0868236
#> 8 0.0443790 0.0439984 0.3725653 0.3295714 0.1181489 0.3462991
#> 9 0.0985668 0.5350713 0.1613158 -0.3983968 -0.3525380 0.0694081
#> 10 -0.2302248 0.1453025 -0.0666331 -0.3192778 -0.0887350 0.2069380
#> year
#> age 1981 1982 1983 1984 1985 1986
#> 1 -0.1827898 0.6099574 -0.0738832 -0.8888847 0.2930463 1.1372175
#> 2 0.1202183 0.3721380 -0.6293764 -0.1679267 0.8203121 -0.1033524
#> 3 0.8468194 -0.0200559 -0.5064765 -0.2016971 0.5254355 0.4458819
#> 4 0.2346459 -0.2534380 -0.3280378 0.2400839 0.1080350 -0.3814347
#> 5 0.3631325 0.1918280 -0.1881816 -0.0094491 0.2632793 0.1076835
#> 6 -0.4634596 -0.0939167 -0.0347260 -0.0865174 0.0611587 -0.0687655
#> 7 0.1814694 0.0687922 -0.1251376 -0.0803832 0.0078550 -0.1090245
#> 8 0.5043971 -0.0369914 -0.3632695 0.1256960 0.5623144 0.3549491
#> 9 0.1327780 -0.1286621 -0.0809474 0.2401215 0.0868586 -0.5524717
#> 10 0.0081442 -0.2359660 -0.1470295 0.1352939 0.1201918 -0.1223049
#> year
#> age 1987 1988 1989 1990 1991 1992
#> 1 -0.5271516 -1.0860706 0.9390856 1.2296632 -0.8570737 -0.9581637
#> 2 -1.2579220 -0.1798499 0.5297582 -0.6456463 -1.3443992 -0.2660056
#> 3 -0.0039999 0.3541197 1.0882458 1.1902173 0.3695250 0.2874699
#> 4 -0.5524500 -0.6414086 -0.7962567 -0.6184222 -0.7897107 -1.2107645
#> 5 0.2145583 0.6039706 0.6140931 0.4126775 0.5804161 0.6940266
#> 6 -0.5011379 -0.2531651 -0.0206271 -0.4420564 -0.5703817 -0.0148827
#> 7 -0.3732841 -0.3993598 -0.3042905 -0.5181806 -0.8205645 -0.5568152
#> 8 0.2948925 0.8090955 1.1901850 1.2290070 0.9872590 0.8275732
#> 9 -0.6426618 -0.1925757 -0.2867521 -0.8165545 -0.8119874 -0.2899415
#> 10 -0.1059564 0.1031273 0.0884194 -0.0424195 -0.2791583 0.1187715
#> year
#> age 1993 1994 1995 1996 1997 1998
#> 1 1.2549289 0.8878771 -0.9794329 -0.5955797 0.8319776 0.9373592
#> 2 0.4457991 -0.6683474 -0.8483089 -0.1468750 0.0442645 -0.4373670
#> 3 1.2661681 1.1686603 -0.0987012 0.0290242 1.4312109 1.9807296
#> 4 -0.7923794 -0.0872368 -0.6041624 -1.4607518 -0.9963320 -0.4089766
#> 5 0.4059635 0.2763141 0.5311767 0.7974508 0.8765707 0.9218246
#> 6 0.0423964 -0.6182545 -0.6500516 -0.1421941 -0.5683747 -1.2088488
#> 7 -0.0209969 -0.1271073 -0.5987066 -0.6600431 -0.4561980 -0.5378081
#> 8 0.7660611 0.5414895 0.4402614 0.7862974 1.5097588 1.6019392
#> 9 -0.0769183 -0.2563927 -0.0426509 0.3817959 0.2405754 -0.5398104
#> 10 0.1989964 -0.0980864 -0.2615290 -0.5792404 -1.0260393 -1.1731644
#> year
#> age 1999 2000 2001 2002 2003 2004
#> 1 -0.4111435 -0.9300099 0.4490561 1.2753799 -0.1273494 -1.1938996
#> 2 -0.9683787 -0.6770203 0.6211931 -0.1367836 -1.8167833 -1.2312329
#> 3 -0.0377012 -0.5646569 1.2578705 1.4304555 0.6484325 0.4118992
#> 4 -1.0901755 -0.9468593 0.0407380 -0.3991519 -1.6212525 -1.4786169
#> 5 0.6255384 0.0773836 0.2394447 0.8546180 0.8620212 0.4913588
#> 6 -0.4040810 0.6236159 -0.0607087 -0.9846836 -0.5828824 0.1331074
#> 7 -0.7142628 -0.3392181 0.2018528 -0.2552639 -0.6202491 -0.2516353
#> 8 0.5963401 0.0706540 1.0315420 1.7757437 0.8278315 -0.1426331
#> 9 -1.1683374 -0.7679158 -0.0413811 -0.0456449 -0.6156344 -0.8762278
#> 10 -0.5613900 0.2553008 0.6856247 0.5149696 0.2062956 0.3421398
#> year
#> age 2005 2006 2007 2008 2009 2010
#> 1 0.6342514 1.3631272 -0.1669792 -1.2872131 0.1352270 1.9791727
#> 2 0.6323504 0.0470412 -1.8253711 -1.1041019 1.1814747 0.7086536
#> 3 1.3610615 1.5697193 0.1892477 0.1388289 0.6750040 0.1201356
#> 4 -0.3610429 -0.1090244 -1.0516111 -1.0105728 0.4873816 1.0355035
#> 5 0.3262309 0.2950814 0.4481028 0.1869565 -0.4329608 -0.6362292
#> 6 0.1387244 -0.3555097 -0.4781932 0.1875744 0.2795048 -0.3215539
#> 7 0.0486542 0.0873290 -0.0060444 0.4538487 1.3641526 1.3442297
#> 8 0.2689779 0.7044613 0.1434890 -0.8060016 -1.1871199 -0.7074071
#> 9 -0.4433521 -0.4086429 -1.1413273 -1.5209729 -1.2815188 -1.0822813
#> 10 0.5844914 0.4256710 0.2254588 0.5235196 0.9889466 0.7856238
#> year
#> age 2011 2012 2013 2014 2015 2016
#> 1 -0.5438637 -2.2407754 1.5235290 1.7216328 -2.2154666 0.3717668
#> 2 -1.5907437 -0.5992120 1.5820874 -0.7855880 -1.6954356 2.9516097
#> 3 -0.4125017 -0.2255334 1.2180666 0.9718334 -1.4258795 -0.7522559
#> 4 0.1254008 -0.9981534 -0.9598977 0.5052219 0.7978006 -0.3952750
#> 5 -0.1481546 0.5703916 0.4258517 -0.2427443 -0.2077400 0.1338192
#> 6 -0.1620226 0.1731215 -0.0072760 -0.3456554 -0.5152839 -0.3490907
#> 7 0.2060807 -0.6777470 -0.4329519 0.3670578 0.6515981 0.2314646
#> 8 -0.0896210 0.3968841 0.7605732 0.3227322 -0.4085854 -0.0445834
#> 9 -0.9182448 -0.4990543 -0.1222427 -0.4283980 -1.2954067 -1.4534411
#> 10 0.1366689 -0.2990086 -0.0274769 0.3281887 0.2974073 0.0515988
#> year
#> age 2017
#> 1 0.0319304
#> 2 -0.4645886
#> 3 -0.1573075
#> 4 0.1451030
#> 5 0.6401501
#> 6 -1.2029148
#> 7 -0.3657997
#> 8 1.7971956
#> 9 -0.3707858
#> 10 -0.1830984
#>
#> units:
# check:
stdlogres(catch.n(ple4),catch.n(obj)) - flqs$catch.n
#> 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 1969 1970 1971
#> 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> year
#> age 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986
#> 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> year
#> age 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
#> 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> year
#> age 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
#> 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> year
#> age 2017
#> 1 0
#> 2 0
#> 3 0
#> 4 0
#> 5 0
#> 6 0
#> 7 0
#> 8 0
#> 9 0
#> 10 0
#>
#> units: