[FLR-list] Error in a4aout at harvest + m(stock) : non-con

[Havstovan FAMRI]

Hi,

Well that solved the problem (trimming the indices object
trim(gul.indices[[2]], age 4:12). No errors come up but stock numbers and
F's are really spurious
and nothing in the range of the XSA run. F are given below as a example:

> gulfit at harvest[,ac(2010:2014)]  # a4a output
An object of class "FLQuant"
, , unit = unique, season = all, area = unique

    year
age  2010       2011       2012       2013       2014
  4  0.00061883 0.00054841 0.00088312 0.00104010 0.00070947
  5  0.00194001 0.00170594 0.00221326 0.00254813 0.00223464
  6  0.00515556 0.00454088 0.00496769 0.00561751 0.00602334
  7  0.01007180 0.00901793 0.00900872 0.01006750 0.01202780
  8  0.01384780 0.01273870 0.01257350 0.01389800 0.01666770
  9  0.01448220 0.01365150 0.01385510 0.01499370 0.01669910
  10 0.01336920 0.01269240 0.01303890 0.01351880 0.01358130
  11 0.01248430 0.01165750 0.01145380 0.01107690 0.01019620
  12 0.01247860 0.01127330 0.00997400 0.00880635 0.00769486
  13 0.01285800 0.01125750 0.00874288 0.00700203 0.00595635
  14 0.01248820 0.01082000 0.00757566 0.00557152 0.00460538
  15 0.01064480 0.00939845 0.00633618 0.00439713 0.00344647
  16 0.00797521 0.00732193 0.00509501 0.00344610 0.00249670
  17 0.00569563 0.00541743 0.00403299 0.00273092 0.00182383
  18 0.00435670 0.00416232 0.00326465 0.00224600 0.00142545
  19 0.00388555 0.00355594 0.00278197 0.00194974 0.00124088
  20 0.00406418 0.00340829 0.00250123 0.00177887 0.00119688
  21 0.00465988 0.00349410 0.00231912 0.00166745 0.00122197

units:  f
> gul_F[,ac(2010:2014)]  # XSA output
     2010   2011   2012   2013   2014
4  0.0047 0.0115 0.0015 0.0066 0.0053
5  0.0143 0.0311 0.0100 0.0154 0.0296
6  0.0675 0.0787 0.0485 0.0655 0.0872
7  0.1257 0.1506 0.0947 0.1182 0.1404
8  0.1696 0.2211 0.1632 0.1897 0.2082
9  0.2107 0.2428 0.1669 0.2651 0.2607
10 0.2624 0.3209 0.2170 0.2783 0.2700
11 0.2686 0.3086 0.2396 0.3374 0.2840
12 0.3309 0.4213 0.2750 0.3371 0.2146
13 0.4980 0.6288 0.4110 0.4805 0.2861
14 0.4428 0.5557 0.4666 0.5562 0.3298
15 0.4462 0.5266 0.4679 0.6606 0.4605
16 0.3444 0.4555 0.4277 0.5946 0.4433
17 0.2812 0.3540 0.3561 0.5347 0.3910
18 0.2529 0.3157 0.3512 0.4841 0.3601
19 0.4566 0.2772 0.1803 0.2773 0.3215
20 0.2534 0.3124 0.2804 0.4170 0.4099
21 0.2534 0.3124 0.2804 0.4170 0.4099

best,
Luis
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