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 class 'FLQuant,FLQuant'
stdlogres(obs, fit, ...)an FLQuant with stardardized log residuals
data(ple4)
data(ple4.index)
obj <- sca(ple4, FLIndices(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 <- 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 1963
#> 1 -0.053146 1.541484 -0.575642 -1.052221 0.801198 1.219205 -0.724853
#> 2 -3.291471 1.016218 -1.238656 -0.254341 0.563429 -1.001191 -2.008450
#> 3 4.910162 1.372564 -1.477061 -0.347822 1.902606 1.384214 0.770094
#> 4 -5.309370 3.061820 -1.155811 -0.404607 -0.583462 -0.912207 -1.116149
#> 5 4.413583 -5.086318 2.690460 0.802037 0.131700 -0.386572 0.743981
#> 6 -4.619712 3.957615 -2.766228 1.275767 -1.719101 1.053475 0.775521
#> 7 4.063348 -4.129105 3.536935 -1.329080 -0.127289 -0.919186 0.992581
#> 8 -0.941815 -0.182004 -1.928657 4.605725 -0.258056 -0.921432 -0.546276
#> 9 -3.758503 -1.005511 -1.035646 -4.296710 0.050665 -1.330257 -0.655756
#> 10 1.622879 1.410054 0.334027 -0.399639 0.143994 1.183011 -0.048148
#> year
#> age 1964 1965 1966 1967 1968 1969 1970
#> 1 -0.697300 1.387498 0.813737 -1.250482 -0.176474 1.892711 -0.205177
#> 2 -0.288650 0.341131 -1.259742 -1.641665 -0.088571 0.045388 -1.512021
#> 3 1.367146 1.772017 1.281829 0.551748 1.227057 1.847840 0.766463
#> 4 -1.506818 -1.576726 -0.892074 -0.733597 -1.247515 -1.021730 -0.297420
#> 5 1.414065 0.860369 0.506291 0.553980 0.291810 0.120242 0.528590
#> 6 -0.907277 -1.636708 -0.640175 0.609796 0.380318 -0.599607 -0.665227
#> 7 -0.390450 -1.313568 -0.342625 0.401865 0.173425 -0.308089 -0.447769
#> 8 3.316426 2.442239 0.488520 0.205385 0.495994 0.647539 0.651819
#> 9 -2.137936 -1.676683 -3.649296 -3.353318 -1.475200 -1.380758 -1.526191
#> 10 -3.711422 -5.524520 -0.956242 0.926249 1.032033 0.485475 -0.287883
#> year
#> age 1971 1972 1973 1974 1975 1976 1977
#> 1 -1.350242 0.535987 1.152992 -0.627671 -0.747968 0.590792 0.307334
#> 2 -0.380287 0.691308 -0.198866 -0.649563 0.184448 0.383016 -0.091938
#> 3 -0.288070 0.370573 0.826462 0.129390 -0.742793 -0.101451 0.668100
#> 4 -0.585857 -0.778968 0.132012 0.356735 -0.547583 -0.289901 0.640318
#> 5 0.617609 0.088952 -0.116184 0.313360 0.167503 -0.198891 0.024856
#> 6 0.074554 0.138990 -0.375696 -0.244832 0.191612 0.018823 -0.244220
#> 7 -0.192866 -0.029999 -0.122521 -0.146161 -0.067426 0.065049 -0.035523
#> 8 0.535119 0.405186 0.242057 0.083839 0.079056 0.231797 0.353407
#> 9 -0.496705 0.340399 -0.043965 -0.677764 -0.329706 0.439286 0.338010
#> 10 -0.270804 0.096179 -0.011463 -0.219305 -0.204395 -0.019838 -0.001788
#> year
#> age 1978 1979 1980 1981 1982 1983 1984
#> 1 -0.331288 0.042577 0.087445 -0.187284 0.625657 -0.063872 -0.897197
#> 2 -0.188438 -0.322632 -0.439297 0.148450 0.322601 -0.668014 -0.135557
#> 3 0.163579 -0.077605 0.541273 0.919329 -0.011715 -0.534228 -0.209423
#> 4 -0.085881 -1.121675 -0.519051 0.233389 -0.293658 -0.334213 0.274288
#> 5 0.331759 0.236818 0.183849 0.403102 0.211041 -0.227332 -0.028245
#> 6 -0.057102 0.117454 -0.317042 -0.432585 -0.041592 -0.051036 -0.129118
#> 7 -0.297060 -0.260504 0.008454 0.151567 0.002108 -0.092488 0.004673
#> 8 0.179339 0.144019 0.496715 0.494035 -0.163352 -0.378738 0.231648
#> 9 -0.387880 -0.622587 -0.113476 0.204766 -0.072196 -0.167799 0.154770
#> 10 -0.111214 -0.082219 0.051528 0.018834 -0.070375 -0.103466 0.007911
#> year
#> age 1985 1986 1987 1988 1989 1990 1991
#> 1 0.279915 1.146304 -0.504812 -1.089153 0.929720 1.248807 -0.830671
#> 2 0.854016 -0.140386 -1.313898 -0.189756 0.526241 -0.696624 -1.423824
#> 3 0.559362 0.479933 0.034963 0.433136 1.191221 1.315795 0.474589
#> 4 0.103011 -0.428966 -0.591631 -0.681323 -0.877004 -0.693112 -0.852315
#> 5 0.292171 0.128418 0.197402 0.592775 0.643146 0.435787 0.565285
#> 6 0.081235 -0.024895 -0.516372 -0.305297 -0.022474 -0.390916 -0.562587
#> 7 0.000917 -0.160244 -0.334952 -0.300823 -0.252992 -0.521453 -0.768239
#> 8 0.592454 0.258105 0.283942 0.922994 1.240315 1.173296 0.953889
#> 9 0.102727 -0.603422 -0.863130 -0.422925 -0.515495 -1.063951 -1.054398
#> 10 0.079095 0.000765 -0.049559 0.005668 0.061765 0.069374 -0.192566
#> year
#> age 1992 1993 1994 1995 1996 1997 1998
#> 1 -0.957268 1.244486 0.897624 -0.956285 -0.593728 0.837582 0.953500
#> 2 -0.309694 0.451849 -0.678628 -0.913658 -0.202334 0.023765 -0.470970
#> 3 0.374118 1.377524 1.267348 -0.053974 0.093723 1.587413 2.192519
#> 4 -1.301999 -0.869878 -0.113917 -0.653041 -1.568598 -1.090733 -0.475452
#> 5 0.682360 0.432714 0.311870 0.526952 0.777250 0.894775 0.960334
#> 6 -0.066482 0.034165 -0.570908 -0.646614 -0.197311 -0.575596 -1.149345
#> 7 -0.457374 -0.001043 -0.161523 -0.567047 -0.545547 -0.354321 -0.496540
#> 8 0.909171 0.834033 0.490083 0.422881 0.890235 1.603488 1.579378
#> 9 -0.502170 -0.172943 -0.251387 0.003403 0.376773 0.112848 -0.801583
#> 10 0.045785 0.090015 -0.068265 -0.179722 -0.591050 -1.066337 -1.090080
#> year
#> age 1999 2000 2001 2002 2003 2004 2005
#> 1 -0.399634 -0.918845 0.435327 1.274640 -0.100945 -1.178238 0.619167
#> 2 -1.041696 -0.712581 0.661815 -0.146722 -1.904834 -1.296983 0.658765
#> 3 0.004147 -0.597398 1.369406 1.555083 0.751099 0.515554 1.478526
#> 4 -1.189970 -1.003532 0.044476 -0.463063 -1.781743 -1.591601 -0.383999
#> 5 0.622410 0.057964 0.266815 0.907234 0.883426 0.490769 0.360875
#> 6 -0.398957 0.546209 -0.083530 -0.940348 -0.591788 0.071698 0.116101
#> 7 -0.694787 -0.312892 0.209305 -0.257134 -0.619701 -0.253522 0.052805
#> 8 0.550690 0.109056 1.120212 1.813472 0.822391 -0.117620 0.316462
#> 9 -1.496428 -0.975291 -0.069327 0.018262 -0.625414 -1.033711 -0.597211
#> 10 -0.450169 0.233989 0.564406 0.461837 0.267328 0.356699 0.480724
#> year
#> age 2006 2007 2008 2009 2010 2011 2012
#> 1 1.352316 -0.142994 -1.276200 0.116214 1.958315 -0.544273 -2.216748
#> 2 0.079482 -1.893286 -1.165407 1.237663 0.799411 -1.589896 -0.683896
#> 3 1.669438 0.221365 0.209857 0.716830 0.028903 -0.488186 -0.167720
#> 4 -0.144171 -1.159731 -1.086012 0.527864 1.096804 0.135497 -1.061385
#> 5 0.342492 0.468812 0.188981 -0.414921 -0.601645 -0.135426 0.561942
#> 6 -0.331896 -0.491507 0.150871 0.305260 -0.267682 -0.177037 0.120441
#> 7 0.070187 -0.057248 0.375211 1.267824 1.244702 0.141310 -0.654738
#> 8 0.732592 0.127444 -0.858858 -1.263050 -0.765656 -0.096217 0.419858
#> 9 -0.509149 -1.308103 -1.806726 -1.624267 -1.371526 -1.063245 -0.578218
#> 10 0.352207 0.267053 0.563971 0.918166 0.703675 0.156167 -0.239158
#> year
#> age 2013 2014 2015 2016 2017
#> 1 1.525324 1.702204 -2.208271 0.358493 0.031565
#> 2 1.564798 -0.728830 -1.688122 2.978470 -0.450376
#> 3 1.380965 1.004021 -1.610927 -0.787784 -0.186599
#> 4 -1.041636 0.521496 0.862683 -0.400828 0.150111
#> 5 0.422258 -0.219921 -0.186023 0.119692 0.642458
#> 6 0.006552 -0.286391 -0.509908 -0.390006 -1.153543
#> 7 -0.362330 0.368256 0.570396 0.204705 -0.260743
#> 8 0.769090 0.298993 -0.426765 -0.024749 1.819830
#> 9 -0.272635 -0.655048 -1.570260 -1.763948 -0.671428
#> 10 -0.058829 0.249750 0.288864 0.083546 -0.223591
#>
#> 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 1963
#> 1 -0.053146 1.541484 -0.575642 -1.052221 0.801198 1.219205 -0.724853
#> 2 -3.291471 1.016218 -1.238656 -0.254341 0.563429 -1.001191 -2.008450
#> 3 4.910162 1.372564 -1.477061 -0.347822 1.902606 1.384214 0.770094
#> 4 -5.309370 3.061820 -1.155811 -0.404607 -0.583462 -0.912207 -1.116149
#> 5 4.413583 -5.086318 2.690460 0.802037 0.131700 -0.386572 0.743981
#> 6 -4.619712 3.957615 -2.766228 1.275767 -1.719101 1.053475 0.775521
#> 7 4.063348 -4.129105 3.536935 -1.329080 -0.127289 -0.919186 0.992581
#> 8 -0.941815 -0.182004 -1.928657 4.605725 -0.258056 -0.921432 -0.546276
#> 9 -3.758503 -1.005511 -1.035646 -4.296710 0.050665 -1.330257 -0.655756
#> 10 1.622879 1.410054 0.334027 -0.399639 0.143994 1.183011 -0.048148
#> year
#> age 1964 1965 1966 1967 1968 1969 1970
#> 1 -0.697300 1.387498 0.813737 -1.250482 -0.176474 1.892711 -0.205177
#> 2 -0.288650 0.341131 -1.259742 -1.641665 -0.088571 0.045388 -1.512021
#> 3 1.367146 1.772017 1.281829 0.551748 1.227057 1.847840 0.766463
#> 4 -1.506818 -1.576726 -0.892074 -0.733597 -1.247515 -1.021730 -0.297420
#> 5 1.414065 0.860369 0.506291 0.553980 0.291810 0.120242 0.528590
#> 6 -0.907277 -1.636708 -0.640175 0.609796 0.380318 -0.599607 -0.665227
#> 7 -0.390450 -1.313568 -0.342625 0.401865 0.173425 -0.308089 -0.447769
#> 8 3.316426 2.442239 0.488520 0.205385 0.495994 0.647539 0.651819
#> 9 -2.137936 -1.676683 -3.649296 -3.353318 -1.475200 -1.380758 -1.526191
#> 10 -3.711422 -5.524520 -0.956242 0.926249 1.032033 0.485475 -0.287883
#> year
#> age 1971 1972 1973 1974 1975 1976 1977
#> 1 -1.350242 0.535987 1.152992 -0.627671 -0.747968 0.590792 0.307334
#> 2 -0.380287 0.691308 -0.198866 -0.649563 0.184448 0.383016 -0.091938
#> 3 -0.288070 0.370573 0.826462 0.129390 -0.742793 -0.101451 0.668100
#> 4 -0.585857 -0.778968 0.132012 0.356735 -0.547583 -0.289901 0.640318
#> 5 0.617609 0.088952 -0.116184 0.313360 0.167503 -0.198891 0.024856
#> 6 0.074554 0.138990 -0.375696 -0.244832 0.191612 0.018823 -0.244220
#> 7 -0.192866 -0.029999 -0.122521 -0.146161 -0.067426 0.065049 -0.035523
#> 8 0.535119 0.405186 0.242057 0.083839 0.079056 0.231797 0.353407
#> 9 -0.496705 0.340399 -0.043965 -0.677764 -0.329706 0.439286 0.338010
#> 10 -0.270804 0.096179 -0.011463 -0.219305 -0.204395 -0.019838 -0.001788
#> year
#> age 1978 1979 1980 1981 1982 1983 1984
#> 1 -0.331288 0.042577 0.087445 -0.187284 0.625657 -0.063872 -0.897197
#> 2 -0.188438 -0.322632 -0.439297 0.148450 0.322601 -0.668014 -0.135557
#> 3 0.163579 -0.077605 0.541273 0.919329 -0.011715 -0.534228 -0.209423
#> 4 -0.085881 -1.121675 -0.519051 0.233389 -0.293658 -0.334213 0.274288
#> 5 0.331759 0.236818 0.183849 0.403102 0.211041 -0.227332 -0.028245
#> 6 -0.057102 0.117454 -0.317042 -0.432585 -0.041592 -0.051036 -0.129118
#> 7 -0.297060 -0.260504 0.008454 0.151567 0.002108 -0.092488 0.004673
#> 8 0.179339 0.144019 0.496715 0.494035 -0.163352 -0.378738 0.231648
#> 9 -0.387880 -0.622587 -0.113476 0.204766 -0.072196 -0.167799 0.154770
#> 10 -0.111214 -0.082219 0.051528 0.018834 -0.070375 -0.103466 0.007911
#> year
#> age 1985 1986 1987 1988 1989 1990 1991
#> 1 0.279915 1.146304 -0.504812 -1.089153 0.929720 1.248807 -0.830671
#> 2 0.854016 -0.140386 -1.313898 -0.189756 0.526241 -0.696624 -1.423824
#> 3 0.559362 0.479933 0.034963 0.433136 1.191221 1.315795 0.474589
#> 4 0.103011 -0.428966 -0.591631 -0.681323 -0.877004 -0.693112 -0.852315
#> 5 0.292171 0.128418 0.197402 0.592775 0.643146 0.435787 0.565285
#> 6 0.081235 -0.024895 -0.516372 -0.305297 -0.022474 -0.390916 -0.562587
#> 7 0.000917 -0.160244 -0.334952 -0.300823 -0.252992 -0.521453 -0.768239
#> 8 0.592454 0.258105 0.283942 0.922994 1.240315 1.173296 0.953889
#> 9 0.102727 -0.603422 -0.863130 -0.422925 -0.515495 -1.063951 -1.054398
#> 10 0.079095 0.000765 -0.049559 0.005668 0.061765 0.069374 -0.192566
#> year
#> age 1992 1993 1994 1995 1996 1997 1998
#> 1 -0.957268 1.244486 0.897624 -0.956285 -0.593728 0.837582 0.953500
#> 2 -0.309694 0.451849 -0.678628 -0.913658 -0.202334 0.023765 -0.470970
#> 3 0.374118 1.377524 1.267348 -0.053974 0.093723 1.587413 2.192519
#> 4 -1.301999 -0.869878 -0.113917 -0.653041 -1.568598 -1.090733 -0.475452
#> 5 0.682360 0.432714 0.311870 0.526952 0.777250 0.894775 0.960334
#> 6 -0.066482 0.034165 -0.570908 -0.646614 -0.197311 -0.575596 -1.149345
#> 7 -0.457374 -0.001043 -0.161523 -0.567047 -0.545547 -0.354321 -0.496540
#> 8 0.909171 0.834033 0.490083 0.422881 0.890235 1.603488 1.579378
#> 9 -0.502170 -0.172943 -0.251387 0.003403 0.376773 0.112848 -0.801583
#> 10 0.045785 0.090015 -0.068265 -0.179722 -0.591050 -1.066337 -1.090080
#> year
#> age 1999 2000 2001 2002 2003 2004 2005
#> 1 -0.399634 -0.918845 0.435327 1.274640 -0.100945 -1.178238 0.619167
#> 2 -1.041696 -0.712581 0.661815 -0.146722 -1.904834 -1.296983 0.658765
#> 3 0.004147 -0.597398 1.369406 1.555083 0.751099 0.515554 1.478526
#> 4 -1.189970 -1.003532 0.044476 -0.463063 -1.781743 -1.591601 -0.383999
#> 5 0.622410 0.057964 0.266815 0.907234 0.883426 0.490769 0.360875
#> 6 -0.398957 0.546209 -0.083530 -0.940348 -0.591788 0.071698 0.116101
#> 7 -0.694787 -0.312892 0.209305 -0.257134 -0.619701 -0.253522 0.052805
#> 8 0.550690 0.109056 1.120212 1.813472 0.822391 -0.117620 0.316462
#> 9 -1.496428 -0.975291 -0.069327 0.018262 -0.625414 -1.033711 -0.597211
#> 10 -0.450169 0.233989 0.564406 0.461837 0.267328 0.356699 0.480724
#> year
#> age 2006 2007 2008 2009 2010 2011 2012
#> 1 1.352316 -0.142994 -1.276200 0.116214 1.958315 -0.544273 -2.216748
#> 2 0.079482 -1.893286 -1.165407 1.237663 0.799411 -1.589896 -0.683896
#> 3 1.669438 0.221365 0.209857 0.716830 0.028903 -0.488186 -0.167720
#> 4 -0.144171 -1.159731 -1.086012 0.527864 1.096804 0.135497 -1.061385
#> 5 0.342492 0.468812 0.188981 -0.414921 -0.601645 -0.135426 0.561942
#> 6 -0.331896 -0.491507 0.150871 0.305260 -0.267682 -0.177037 0.120441
#> 7 0.070187 -0.057248 0.375211 1.267824 1.244702 0.141310 -0.654738
#> 8 0.732592 0.127444 -0.858858 -1.263050 -0.765656 -0.096217 0.419858
#> 9 -0.509149 -1.308103 -1.806726 -1.624267 -1.371526 -1.063245 -0.578218
#> 10 0.352207 0.267053 0.563971 0.918166 0.703675 0.156167 -0.239158
#> year
#> age 2013 2014 2015 2016 2017
#> 1 1.525324 1.702204 -2.208271 0.358493 0.031565
#> 2 1.564798 -0.728830 -1.688122 2.978470 -0.450376
#> 3 1.380965 1.004021 -1.610927 -0.787784 -0.186599
#> 4 -1.041636 0.521496 0.862683 -0.400828 0.150111
#> 5 0.422258 -0.219921 -0.186023 0.119692 0.642458
#> 6 0.006552 -0.286391 -0.509908 -0.390006 -1.153543
#> 7 -0.362330 0.368256 0.570396 0.204705 -0.260743
#> 8 0.769090 0.298993 -0.426765 -0.024749 1.819830
#> 9 -0.272635 -0.655048 -1.570260 -1.763948 -0.671428
#> 10 -0.058829 0.249750 0.288864 0.083546 -0.223591
#>
#> 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: