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.
Examples
flq <- FLQuant(rlnorm(100), dim=c(10,10))
quantTotals(flq)
#> An x of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> quant 1 2 3 4 5 6 7 8 9 10
#> 1 29.72 29.72 29.72 29.72 29.72 29.72 29.72 29.72 29.72 29.72
#> 2 10.50 10.50 10.50 10.50 10.50 10.50 10.50 10.50 10.50 10.50
#> 3 12.86 12.86 12.86 12.86 12.86 12.86 12.86 12.86 12.86 12.86
#> 4 40.20 40.20 40.20 40.20 40.20 40.20 40.20 40.20 40.20 40.20
#> 5 22.25 22.25 22.25 22.25 22.25 22.25 22.25 22.25 22.25 22.25
#> 6 10.40 10.40 10.40 10.40 10.40 10.40 10.40 10.40 10.40 10.40
#> 7 10.01 10.01 10.01 10.01 10.01 10.01 10.01 10.01 10.01 10.01
#> 8 11.39 11.39 11.39 11.39 11.39 11.39 11.39 11.39 11.39 11.39
#> 9 7.57 7.57 7.57 7.57 7.57 7.57 7.57 7.57 7.57 7.57
#> 10 31.49 31.49 31.49 31.49 31.49 31.49 31.49 31.49 31.49 31.49
#>
#> units: NA
# See how the values obtained by yearSums are being replicated
yearSums(flq)
#> An x of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> quant 1
#> 1 29.72
#> 2 10.50
#> 3 12.86
#> 4 40.20
#> 5 22.25
#> 6 10.40
#> 7 10.01
#> 8 11.39
#> 9 7.57
#> 10 31.49
#>
#> units: NA
# Get the proportions by quant
flq / quantTotals(flq)
#> An x of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> quant 1 2 3 4 5 6 7 8 9
#> 1 0.01023 0.47409 0.00525 0.03998 0.02383 0.25289 0.05358 0.00231 0.04892
#> 2 0.03086 0.11112 0.01174 0.14194 0.18326 0.06451 0.07643 0.08495 0.24569
#> 3 0.06614 0.06867 0.29438 0.26260 0.07426 0.03565 0.06832 0.01442 0.03910
#> 4 0.01149 0.03864 0.05541 0.11879 0.39762 0.05800 0.12611 0.02092 0.13613
#> 5 0.03437 0.00725 0.04639 0.47463 0.06513 0.05141 0.04521 0.02853 0.21485
#> 6 0.01348 0.15314 0.11469 0.27984 0.08541 0.03541 0.04460 0.07029 0.06860
#> 7 0.08931 0.05988 0.04078 0.00551 0.13142 0.12138 0.07521 0.02333 0.33385
#> 8 0.07608 0.04062 0.02189 0.02932 0.03823 0.10447 0.09593 0.27447 0.10596
#> 9 0.16448 0.18405 0.05075 0.05510 0.06761 0.18544 0.09877 0.02608 0.11062
#> 10 0.01423 0.01493 0.02987 0.01995 0.09938 0.00473 0.09559 0.02814 0.67446
#> year
#> quant 10
#> 1 0.08892
#> 2 0.04949
#> 3 0.07647
#> 4 0.03690
#> 5 0.03224
#> 6 0.13455
#> 7 0.11934
#> 8 0.21303
#> 9 0.05710
#> 10 0.01871
#>
#> units: NA
# or year
flq / yearTotals(flq)
#> An x of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> quant 1 2 3 4 5 6 7 8 9
#> 1 0.04827 0.62988 0.01487 0.04619 0.02595 0.45690 0.10331 0.00880 0.03452
#> 2 0.05145 0.05215 0.01174 0.05791 0.07048 0.04117 0.05205 0.11443 0.06123
#> 3 0.13506 0.03947 0.36058 0.13123 0.03498 0.02786 0.05699 0.02378 0.01193
#> 4 0.07335 0.06943 0.21217 0.18558 0.58550 0.14171 0.32887 0.10791 0.12991
#> 5 0.12140 0.00721 0.09831 0.41032 0.05307 0.06951 0.06525 0.08142 0.11346
#> 6 0.02225 0.07116 0.11356 0.11305 0.03252 0.02237 0.03008 0.09375 0.01693
#> 7 0.14193 0.02679 0.03887 0.00214 0.04818 0.07384 0.04883 0.02995 0.07931
#> 8 0.13755 0.02067 0.02374 0.01297 0.01594 0.07230 0.07085 0.40094 0.02864
#> 9 0.19760 0.06224 0.03657 0.01620 0.01874 0.08527 0.04848 0.02531 0.01987
#> 10 0.07115 0.02102 0.08959 0.02442 0.11464 0.00906 0.19529 0.11369 0.50420
#> year
#> quant 10
#> 1 0.21338
#> 2 0.04195
#> 3 0.07938
#> 4 0.11977
#> 5 0.05790
#> 6 0.11292
#> 7 0.09643
#> 8 0.19581
#> 9 0.03488
#> 10 0.04758
#>
#> units: NA