Methods to compute totals over selected dimensions of FLQuant
objects
These methods return an object of same dimensions as the input but with the
sums along the first (yearTotals
) or second dimension
(quantTotals
). Although the names might appear contradictory, it must
be noted that what each method really returns are the totals over the
selected dimension.
quantTotals(x, ...)
quantTotals(x)
yearTotals(x)
#> An object of class "FLQuant" #> , , unit = unique, season = all, area = unique #> #> year #> quant 1 2 3 4 5 6 7 8 9 #> 1 19.5334 19.5334 19.5334 19.5334 19.5334 19.5334 19.5334 19.5334 19.5334 #> 2 10.2647 10.2647 10.2647 10.2647 10.2647 10.2647 10.2647 10.2647 10.2647 #> 3 15.8299 15.8299 15.8299 15.8299 15.8299 15.8299 15.8299 15.8299 15.8299 #> 4 15.0893 15.0893 15.0893 15.0893 15.0893 15.0893 15.0893 15.0893 15.0893 #> 5 14.7519 14.7519 14.7519 14.7519 14.7519 14.7519 14.7519 14.7519 14.7519 #> 6 8.8959 8.8959 8.8959 8.8959 8.8959 8.8959 8.8959 8.8959 8.8959 #> 7 9.9711 9.9711 9.9711 9.9711 9.9711 9.9711 9.9711 9.9711 9.9711 #> 8 8.7213 8.7213 8.7213 8.7213 8.7213 8.7213 8.7213 8.7213 8.7213 #> 9 10.3687 10.3687 10.3687 10.3687 10.3687 10.3687 10.3687 10.3687 10.3687 #> 10 13.6346 13.6346 13.6346 13.6346 13.6346 13.6346 13.6346 13.6346 13.6346 #> year #> quant 10 #> 1 19.5334 #> 2 10.2647 #> 3 15.8299 #> 4 15.0893 #> 5 14.7519 #> 6 8.8959 #> 7 9.9711 #> 8 8.7213 #> 9 10.3687 #> 10 13.6346 #> #> units: NA#> An object of class "FLQuant" #> , , unit = unique, season = all, area = unique #> #> year #> quant 1 #> 1 19.5334 #> 2 10.2647 #> 3 15.8299 #> 4 15.0893 #> 5 14.7519 #> 6 8.8959 #> 7 9.9711 #> 8 8.7213 #> 9 10.3687 #> 10 13.6346 #> #> units: NA# Get the proportions by quant flq / quantTotals(flq)#> An object of class "FLQuant" #> , , unit = unique, season = all, area = unique #> #> year #> quant 1 2 3 4 5 6 7 #> 1 0.1401071 0.1583094 0.0401853 0.0249691 0.0108168 0.3613267 0.0885698 #> 2 0.0151625 0.1813932 0.0880427 0.1116723 0.0790881 0.0478386 0.1216403 #> 3 0.2039503 0.0883486 0.0327350 0.0717524 0.0268496 0.0163921 0.1915459 #> 4 0.0192638 0.0552537 0.1906328 0.0460857 0.1185448 0.0205035 0.0634216 #> 5 0.0678793 0.3615079 0.0143622 0.0558853 0.2123546 0.0484294 0.0096503 #> 6 0.0586736 0.0261403 0.2642581 0.0244212 0.1333874 0.1066911 0.1033863 #> 7 0.1855691 0.0988805 0.0795930 0.2046823 0.0632667 0.0177282 0.0941209 #> 8 0.1004544 0.1007954 0.0909422 0.0591549 0.1345026 0.1407439 0.1019978 #> 9 0.0106053 0.1566371 0.1647681 0.1478087 0.0738273 0.2032565 0.1262801 #> 10 0.0356085 0.0364308 0.2737919 0.0561311 0.3786550 0.0386520 0.0439539 #> year #> quant 8 9 10 #> 1 0.0701616 0.0740334 0.0315208 #> 2 0.1991795 0.0795452 0.0764376 #> 3 0.1407386 0.1773844 0.0503032 #> 4 0.2988539 0.0146999 0.1727404 #> 5 0.0349267 0.0410645 0.1539396 #> 6 0.0358815 0.0929460 0.1542145 #> 7 0.0904860 0.1073780 0.0582952 #> 8 0.1958534 0.0432136 0.0323416 #> 9 0.0479634 0.0539373 0.0149163 #> 10 0.0296527 0.0472286 0.0598954 #> #> units: NA# or year flq / yearTotals(flq)#> An object of class "FLQuant" #> , , unit = unique, season = all, area = unique #> #> year #> quant 1 2 3 4 5 6 7 #> 1 0.2431213 0.1847497 0.0534919 0.0520990 0.0138202 0.5106992 0.1470325 #> 2 0.0138261 0.1112410 0.0615857 0.1224442 0.0531003 0.0355313 0.1061138 #> 3 0.2868062 0.0835561 0.0353129 0.1213288 0.0278008 0.0187759 0.2576924 #> 4 0.0258223 0.0498113 0.1960234 0.0742817 0.1170014 0.0223864 0.0813307 #> 5 0.0889553 0.3186149 0.0144382 0.0880633 0.2049046 0.0516946 0.0120987 #> 6 0.0463679 0.0138931 0.1601992 0.0232062 0.0776149 0.0686761 0.0781632 #> 7 0.1643744 0.0589051 0.0540830 0.2180077 0.0412629 0.0127907 0.0797589 #> 8 0.0778279 0.0525196 0.0540492 0.0551087 0.0767278 0.0888174 0.0756000 #> 9 0.0097686 0.0970329 0.1164235 0.1637092 0.0500706 0.1524955 0.1112780 #> 10 0.0431301 0.0296763 0.2543929 0.0817511 0.3376964 0.0381330 0.0509318 #> year #> quant 8 9 10 #> 1 0.0945249 0.1542400 0.0598906 #> 2 0.1410127 0.0870864 0.0763194 #> 3 0.1536602 0.2994926 0.0774566 #> 4 0.3110253 0.0236577 0.2535391 #> 5 0.0355366 0.0646112 0.2208934 #> 6 0.0220155 0.0881885 0.1334437 #> 7 0.0622291 0.1141959 0.0565405 #> 8 0.1178097 0.0401969 0.0274363 #> 9 0.0343008 0.0596494 0.0150442 #> 10 0.0278853 0.0686814 0.0794362 #> #> units: NA