Facilitates the calculation of weighted means across a FLQuants object.
Usage
# S4 method for class 'FLQuants,FLQuants'
weighted.mean(x, w)Details
An object of class FLQuants containing elements over which an average is to computed, is combined with another one, of the same length, containing values to be used as weights. The overall weighted mean is calculated by computing the product of each element to its corresponding weight, and dividing by the sum of all weights. NAs in the value elements are substituted for zeroes, so do not influence the mean.
Examples
data(ple4)
# Weighted mean of landings and discards weights-at-age
weighted.mean(FLQuants(L=landings.wt(ple4), D=discards.wt(ple4)),
FLQuants(L=landings.n(ple4), D=discards.n(ple4)))
#> An x of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966
#> 1 0.0440 0.0470 0.0510 0.0450 0.0440 0.0420 0.0480 0.0320 0.0380 0.0380
#> 2 0.1098 0.1055 0.1200 0.1150 0.1014 0.0993 0.1097 0.1260 0.0759 0.1043
#> 3 0.1943 0.1895 0.1915 0.2037 0.1801 0.1814 0.1748 0.2039 0.2144 0.1481
#> 4 0.2566 0.2563 0.2604 0.2871 0.3012 0.2731 0.3042 0.2710 0.3133 0.3148
#> 5 0.3491 0.3294 0.3453 0.3774 0.4024 0.3970 0.3919 0.3789 0.3814 0.4276
#> 6 0.4555 0.4523 0.4719 0.4799 0.5061 0.5380 0.5313 0.4847 0.4688 0.4829
#> 7 0.5330 0.5130 0.5920 0.6010 0.6040 0.5700 0.6240 0.6280 0.5390 0.5590
#> 8 0.5890 0.6150 0.6230 0.6830 0.6710 0.6920 0.6670 0.7000 0.6630 0.6240
#> 9 0.3960 0.6649 0.7499 0.7239 0.8119 0.7769 0.7150 0.7369 0.7259 0.6899
#> 10 0.9980 0.9920 1.0000 1.0940 1.0710 1.1270 1.0280 1.0050 0.8870 0.9330
#> year
#> age 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976
#> 1 0.0360 0.0600 0.0520 0.0492 0.0571 0.0669 0.0453 0.0565 0.0688 0.0878
#> 2 0.1105 0.1163 0.1742 0.1311 0.1599 0.2072 0.2052 0.1208 0.1518 0.1809
#> 3 0.1896 0.2234 0.2716 0.2683 0.2766 0.2900 0.3340 0.3432 0.2050 0.2616
#> 4 0.2348 0.2745 0.2836 0.3522 0.3884 0.4074 0.4032 0.4037 0.3929 0.3473
#> 5 0.4220 0.3399 0.3560 0.3938 0.4443 0.4864 0.4782 0.4724 0.4925 0.5094
#> 6 0.5433 0.5161 0.4083 0.4409 0.5122 0.5398 0.5376 0.5523 0.5851 0.5916
#> 7 0.5970 0.5900 0.5730 0.4990 0.5420 0.6080 0.6050 0.6090 0.6360 0.6410
#> 8 0.6620 0.5960 0.6550 0.6720 0.6070 0.6460 0.6270 0.6929 0.7029 0.7049
#> 9 0.7379 0.6859 0.6580 0.7439 0.6989 0.6740 0.6769 0.7069 0.7829 0.7409
#> 10 0.9780 0.9110 0.8930 0.8920 0.8910 0.9390 0.8420 0.9260 1.0190 0.9800
#> year
#> age 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986
#> 1 0.0713 0.0698 0.0668 0.0558 0.0484 0.0558 0.0517 0.0531 0.0541 0.0493
#> 2 0.2179 0.1903 0.1905 0.1970 0.1834 0.1520 0.1527 0.1499 0.1691 0.1414
#> 3 0.2450 0.3153 0.2954 0.3430 0.3268 0.3082 0.2748 0.2655 0.2680 0.2754
#> 4 0.3181 0.3643 0.3377 0.3994 0.4147 0.4206 0.3791 0.3210 0.3335 0.3105
#> 5 0.3960 0.4323 0.4265 0.4712 0.5017 0.5119 0.5070 0.4705 0.4439 0.4024
#> 6 0.5513 0.4864 0.4721 0.5424 0.5556 0.6059 0.6020 0.5883 0.5615 0.4718
#> 7 0.6469 0.6090 0.5500 0.5880 0.6040 0.6640 0.6770 0.6770 0.6670 0.6680
#> 8 0.7209 0.6869 0.6749 0.6620 0.6420 0.7119 0.7709 0.7259 0.7299 0.7499
#> 9 0.7149 0.7758 0.7959 0.7718 0.7249 0.7379 0.8149 0.8388 0.8069 0.8558
#> 10 0.9779 0.9499 0.9599 1.0129 1.0069 0.9839 0.9839 1.0359 1.0209 1.0139
#> year
#> age 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996
#> 1 0.0430 0.0430 0.0471 0.0533 0.0563 0.0548 0.0626 0.0637 0.0711 0.0538
#> 2 0.1134 0.1018 0.1176 0.1297 0.1495 0.1454 0.1602 0.1791 0.1829 0.1402
#> 3 0.2186 0.1975 0.2151 0.2106 0.2109 0.2257 0.2500 0.2565 0.2826 0.2680
#> 4 0.3434 0.2759 0.2913 0.2905 0.2728 0.2752 0.3033 0.3314 0.3337 0.3363
#> 5 0.3754 0.4151 0.3643 0.3596 0.3494 0.3242 0.3397 0.3722 0.3729 0.4127
#> 6 0.4707 0.4767 0.5123 0.4398 0.4493 0.4103 0.4069 0.4161 0.4191 0.4636
#> 7 0.5740 0.5900 0.5910 0.5860 0.5260 0.5300 0.5120 0.4910 0.4740 0.4900
#> 8 0.7279 0.6799 0.6680 0.6899 0.6660 0.6070 0.6300 0.6100 0.5930 0.5530
#> 9 0.8348 0.8079 0.7848 0.7609 0.7429 0.7189 0.7199 0.7309 0.7339 0.7119
#> 10 0.9929 1.0169 0.9399 1.0099 0.9239 0.8909 0.8559 0.9059 0.9059 0.8579
#> year
#> age 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
#> 1 0.0451 0.0472 0.0538 0.0631 0.0901 0.0567 0.0657 0.0544 0.0674 0.0603
#> 2 0.1290 0.0939 0.1032 0.1232 0.1358 0.1308 0.1240 0.1249 0.1174 0.1394
#> 3 0.2204 0.2080 0.1986 0.2096 0.1966 0.2217 0.2264 0.2204 0.2129 0.2118
#> 4 0.3532 0.2987 0.2665 0.2742 0.2339 0.2851 0.2837 0.2969 0.2979 0.2933
#> 5 0.4084 0.4490 0.4133 0.3719 0.3032 0.3261 0.3357 0.3755 0.3516 0.3748
#> 6 0.4727 0.5440 0.4143 0.4523 0.4098 0.4264 0.3853 0.4212 0.3475 0.3834
#> 7 0.5410 0.6130 0.5379 0.5650 0.5765 0.4692 0.4191 0.5055 0.4532 0.4285
#> 8 0.5739 0.6729 0.6369 0.6004 0.7004 0.6436 0.6345 0.5598 0.5541 0.4569
#> 9 0.6159 0.6868 0.7478 0.7516 0.7954 0.7595 0.7624 0.7961 0.6169 0.5308
#> 10 0.9119 0.8989 0.8039 0.8878 0.7988 0.9037 0.8565 0.8712 0.9093 0.7477
#> year
#> age 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
#> 1 0.0588 0.0566 0.0612 0.0618 0.0476 0.0523 0.0509 0.0250 0.0260 0.0480
#> 2 0.1137 0.1235 0.1247 0.1317 0.1147 0.0962 0.0911 0.0934 0.0803 0.0838
#> 3 0.2230 0.2476 0.2321 0.2260 0.2119 0.1956 0.1786 0.1717 0.1618 0.1574
#> 4 0.3101 0.3246 0.3266 0.3113 0.2774 0.2944 0.2736 0.2533 0.2579 0.2430
#> 5 0.3512 0.3894 0.3991 0.3959 0.3695 0.3484 0.3447 0.3176 0.3256 0.2989
#> 6 0.3753 0.4368 0.4658 0.4424 0.4532 0.4254 0.4094 0.3961 0.3937 0.3525
#> 7 0.4907 0.3683 0.5184 0.4626 0.5954 0.5092 0.4902 0.4726 0.4613 0.4223
#> 8 0.3574 0.4687 0.4410 0.5734 0.4449 0.5572 0.5990 0.5416 0.4808 0.4652
#> 9 0.5865 0.6396 0.6674 0.6819 0.5558 0.5579 0.6069 0.6279 0.5820 0.5560
#> 10 0.6318 0.6377 0.7915 0.6487 0.8039 0.6798 0.6799 0.6499 0.5999 0.6839
#> year
#> age 2017
#> 1 0.0510
#> 2 0.0859
#> 3 0.1586
#> 4 0.2184
#> 5 0.3144
#> 6 0.3863
#> 7 0.4377
#> 8 0.5315
#> 9 0.6420
#> 10 0.7349
#>
#> units: NA