The FLQuantPoint
class summarizes the contents of an FLQuant
object with multiple iterations along its sixth dimension using a number of
descriptive statistics.
FLQuantPoint(object, ...) # S4 method for missing FLQuantPoint(..., units = "NA") # S4 method for FLQuant FLQuantPoint(object, ..., units = "NA")
An object of this class has a set structure along its sixth dimension (iter), which will always be of length 5, and with dimnames mean, median, var, uppq and lowq. They refer, respectively, to the sample mean, sample median, variance, and lower (0.25) and upper (0.75) quantiles.
Objects of this class wil be typically created from an FLQuant
. The
various statistics are calculated along the iter dimension of the
original FLQuant
using apply
.
array
.character
.Inputs can be of class:
FLQuant
:#> An object of class "FLQuantPoint" with: #> dim : 10 20 1 1 1 5 #> quant: quant #> units: NA #> #> 1st Qu.: -0.6351078 #> Mean : -0.002424986 #> Median : 0.003465182 #> Var : 0.8757781 #> 3rd Qu.: 0.6263367mean(flqp)#> An object of class "FLQuant" #> , , unit = unique, season = all, area = unique #> #> year #> quant 1 2 3 4 5 6 #> 1 0.0557503 0.0678672 0.2027561 0.2379575 0.2599348 0.0573376 #> 2 -0.1267495 -0.3916230 -0.2501393 0.1766358 0.3501232 0.1818704 #> 3 0.5679519 -0.1183538 0.1879793 -0.0546625 0.0544380 0.2487038 #> 4 -0.2414080 -0.1574923 -0.2803829 0.2892275 -0.0467780 -0.9016503 #> 5 -0.7429381 0.7716159 0.2651606 0.0901614 -0.6764376 0.0889035 #> 6 0.1256821 0.3574765 0.5923132 -0.6155751 0.3497929 0.1279586 #> 7 0.5600912 -0.1870226 -0.5559914 0.1109909 -0.0463142 0.0866635 #> 8 -0.2653885 0.0080206 -0.3548301 0.5012216 -0.4699442 -0.2193468 #> 9 0.0791561 -0.1762477 -0.0976516 0.1685918 -0.2327869 0.0328683 #> 10 0.3803264 -0.4632010 -0.1345625 -0.2025044 -0.1041000 -0.0697064 #> year #> quant 7 8 9 10 11 12 #> 1 0.2398112 -0.2838461 -0.1376887 0.4815861 -0.3247162 0.0746967 #> 2 -0.4983894 -0.3771135 -0.1031619 0.2868086 0.2030155 0.1583695 #> 3 -0.7338181 0.1739352 0.4543410 -0.3616084 -0.0707997 0.7275466 #> 4 -0.2939057 -0.6742085 -0.0089104 0.2632663 0.0335199 -0.2353319 #> 5 0.2447180 0.4216076 -0.4102999 0.1339917 0.1643000 0.6891331 #> 6 0.1001412 0.0215572 -0.4005390 0.2115749 -0.3442878 -0.0959420 #> 7 0.1871252 -0.2498568 -0.3705473 -0.0447523 0.7189401 0.0065091 #> 8 0.1806579 0.2251630 -0.0948781 -0.8044873 0.5158847 -0.1756279 #> 9 -0.0684719 0.4531745 0.2727724 -0.0820192 -0.1395915 0.4557572 #> 10 0.5655078 0.1403470 -0.2791996 -0.1713160 0.1590137 -0.0330757 #> year #> quant 13 14 15 16 17 18 #> 1 0.1313720 0.1722425 -0.4237508 -0.1055291 0.3621089 0.0578804 #> 2 0.3401022 -0.1038378 -0.2615694 -0.1959111 0.2530755 -0.4546731 #> 3 0.0660074 0.0223479 -0.3947605 0.4434082 0.4543811 0.0859872 #> 4 -0.5558373 0.0806293 0.1407984 -0.3064200 -0.0327002 -0.5713972 #> 5 -0.0663358 -0.0468931 -0.0284267 -0.6055961 0.5803243 -0.2179816 #> 6 -0.0406329 -0.3854810 -0.1238765 -0.0644116 -0.1117494 0.6012382 #> 7 0.0022068 0.1289660 0.0476673 -0.0822757 -0.3012638 -0.3764278 #> 8 -0.2328320 -0.1282122 -0.5382593 0.4113241 -0.1529698 0.0186342 #> 9 0.2205371 -0.3005079 0.1186720 0.2854136 0.4636235 -0.2739490 #> 10 -0.0960642 -0.1967660 -0.1057959 0.3498726 0.2653358 -0.0713247 #> year #> quant 19 20 #> 1 -0.6144307 0.4090159 #> 2 -0.2574728 0.4518798 #> 3 0.0122205 -0.2089001 #> 4 0.2737155 0.2250663 #> 5 0.3897354 -0.6584693 #> 6 0.5874343 0.0018123 #> 7 0.0090594 -0.2669614 #> 8 0.6424364 0.2076196 #> 9 0.3149482 -0.4017865 #> 10 -0.1528830 -0.1468953 #> #> units: NAvar(flqp)#> An object of class "FLQuant" #> , , unit = unique, season = all, area = unique #> #> year #> quant 1 2 3 4 5 6 7 8 9 #> 1 1.17946 2.10623 1.00046 0.99777 0.85987 0.83849 0.60420 0.44464 0.85273 #> 2 0.53152 0.91068 1.47131 0.78664 1.04533 0.39329 0.72750 0.40592 0.50967 #> 3 1.21029 0.86152 1.19944 0.71828 1.68064 0.99619 0.67856 0.59388 1.68751 #> 4 0.86046 0.72181 0.61311 0.92156 0.56360 0.77499 1.08821 0.49857 0.47007 #> 5 1.65139 0.81440 0.78374 0.64641 0.67555 1.36363 1.01236 0.54642 1.12680 #> 6 0.81191 0.77126 0.47318 1.20167 0.58739 0.66518 1.05958 1.09132 0.90295 #> 7 1.11071 1.52695 1.85508 0.67090 0.87846 1.46217 1.26932 0.86811 1.04109 #> 8 0.55864 0.71440 1.52487 1.06004 0.42838 0.28333 0.62225 0.43208 0.35558 #> 9 1.31907 2.31526 0.98161 1.19504 1.29478 1.17252 0.79482 0.40158 0.63640 #> 10 1.59873 0.50549 1.37048 0.84211 0.54560 0.83634 1.49259 0.35449 0.60787 #> year #> quant 10 11 12 13 14 15 16 17 18 #> 1 0.29355 0.26309 0.27634 0.60771 0.79621 1.63940 0.88691 0.51123 1.63799 #> 2 1.17152 0.81282 1.48042 0.52596 1.04651 0.36034 1.23844 1.41387 0.22608 #> 3 0.76116 0.86756 1.07111 0.38091 0.67335 0.90853 0.92596 0.57534 0.83808 #> 4 0.44476 1.13840 0.64037 1.43631 1.03877 0.88779 0.42765 0.99883 0.41300 #> 5 0.85313 0.90432 0.79924 0.56208 0.54668 0.92458 0.92969 0.43479 0.58869 #> 6 0.41266 1.04078 1.25037 0.36826 1.22218 1.42068 1.57983 1.17840 1.66722 #> 7 0.22727 0.18600 1.33711 0.25213 0.31111 1.31866 0.95269 0.67165 1.18418 #> 8 1.02373 1.49265 0.29245 0.19758 0.86757 0.57123 1.12065 0.75441 1.25795 #> 9 0.62817 0.66120 0.93625 0.74667 0.82656 1.40559 0.71728 0.78792 0.63536 #> 10 0.76543 0.94815 0.48245 1.12609 0.54842 0.55918 1.02132 0.75303 1.02977 #> year #> quant 19 20 #> 1 0.54785 0.97293 #> 2 1.04596 1.08007 #> 3 0.35410 1.12158 #> 4 0.49325 1.02822 #> 5 1.28702 0.79902 #> 6 1.66330 0.79292 #> 7 0.63143 0.75829 #> 8 0.58105 0.58888 #> 9 1.84698 0.56783 #> 10 0.51800 0.66261 #> #> units: NArnorm(200, flqp)#> An object of class "FLQuant" #> iters: 200 #> #> , , unit = unique, season = all, area = unique #> #> year #> quant 1 2 3 4 #> 1 0.0776112(1.159) -0.0956547(1.382) 0.2646168(1.048) 0.0778698(0.877) #> 2 -0.0193558(0.761) -0.3689892(0.916) -0.3442973(1.375) 0.0464255(0.960) #> 3 0.4864069(1.127) -0.1100107(0.925) 0.2499902(1.031) -0.0679822(0.825) #> 4 -0.1426638(0.766) -0.0646086(0.957) -0.2877036(0.800) 0.2325914(0.906) #> 5 -0.8199031(1.422) 0.7294364(0.988) 0.3283719(0.899) 0.0185545(0.781) #> 6 0.1892370(0.970) 0.3722498(0.838) 0.4647289(0.687) -0.5586744(1.154) #> 7 0.4561867(0.967) -0.2337968(1.303) -0.5568870(1.390) 0.0977611(0.755) #> 8 -0.2913654(0.756) -0.0954785(0.784) -0.3908526(1.335) 0.3717227(1.002) #> 9 0.0371290(1.389) -0.2554852(1.505) -0.0228999(1.053) 0.1533555(1.113) #> 10 0.3810365(1.266) -0.5178360(0.769) -0.2243746(1.097) -0.2164388(0.970) #> year #> quant 5 6 7 8 #> 1 0.4534435(1.077) 0.0115560(0.908) 0.1979044(0.806) -0.4252387(0.726) #> 2 0.3588288(1.015) 0.2382162(0.539) -0.3909132(0.878) -0.2806483(0.728) #> 3 0.1814615(1.322) 0.4436934(1.010) -0.6526968(0.862) 0.3021553(0.826) #> 4 -0.0608337(0.728) -1.0274742(1.003) -0.3993509(1.160) -0.6695970(0.657) #> 5 -0.5317170(0.776) 0.0318012(1.064) 0.3563199(1.057) 0.3730430(0.784) #> 6 0.3311108(0.673) 0.0891955(0.829) 0.1226792(1.033) 0.0325358(0.934) #> 7 -0.0050713(0.850) -0.0561170(1.329) 0.1376004(1.096) -0.2313807(1.087) #> 8 -0.5640992(0.711) -0.1351802(0.549) 0.1772635(0.707) 0.0871993(0.575) #> 9 -0.3714754(1.054) 0.0272221(1.193) -0.0636486(0.888) 0.2711601(0.541) #> 10 -0.1494818(0.692) -0.1350879(0.940) 0.6190104(1.328) 0.1875547(0.622) #> year #> quant 9 10 11 12 #> 1 -0.1800676(0.874) 0.4327979(0.511) -0.3505750(0.441) 0.0176980(0.582) #> 2 -0.2569337(0.606) 0.2563208(1.064) 0.2910095(0.867) 0.1146450(1.095) #> 3 0.4372214(1.216) -0.2669956(0.869) -0.0128439(0.955) 0.7274475(1.020) #> 4 -0.1057782(0.751) 0.2512623(0.661) 0.0116544(1.045) -0.3120538(0.887) #> 5 -0.3521758(1.202) 0.1195697(0.883) 0.0286973(0.922) 0.6470707(1.023) #> 6 -0.3996794(0.977) 0.2591544(0.665) -0.5506444(1.079) -0.1413804(1.209) #> 7 -0.5749095(0.900) -0.0632939(0.459) 0.7780532(0.428) -0.1085899(1.320) #> 8 -0.1098078(0.570) -0.9270514(0.963) 0.6710906(1.327) -0.1767238(0.591) #> 9 0.3245417(0.697) -0.1160167(0.704) -0.2595247(0.857) 0.5267236(0.875) #> 10 -0.2719875(0.812) -0.2504630(0.839) 0.0805001(0.895) -0.0595326(0.651) #> year #> quant 13 14 15 16 #> 1 0.1891921(0.670) 0.2766953(0.852) -0.4308786(1.224) -0.0790290(1.047) #> 2 0.2584053(0.679) -0.0676164(1.078) -0.2485520(0.553) -0.2225320(1.095) #> 3 0.0835398(0.593) -0.0201944(0.844) -0.3848645(0.982) 0.4228538(0.897) #> 4 -0.3625162(1.252) 0.2285478(1.047) 0.1779387(1.033) -0.4626882(0.710) #> 5 -0.1287288(0.834) -0.0883405(0.701) -0.0434710(1.060) -0.5592629(1.039) #> 6 -0.0904098(0.668) -0.2845121(1.099) -0.1001720(1.259) 0.0062344(1.279) #> 7 -0.0275727(0.484) 0.0863420(0.583) 0.1104114(1.162) -0.1518161(1.001) #> 8 -0.2367531(0.455) -0.1040541(0.841) -0.5639225(0.774) 0.4031249(1.001) #> 9 0.2694301(0.897) -0.3519979(1.055) 0.0052608(1.221) 0.3392432(0.843) #> 10 -0.2151205(1.159) -0.2894336(0.724) -0.0499776(0.706) 0.4580860(0.968) #> year #> quant 17 18 19 20 #> 1 0.3680786(0.716) -0.0606898(1.114) -0.6129439(0.727) 0.3781251(0.998) #> 2 0.0984705(1.062) -0.4118687(0.523) -0.5158144(1.160) 0.4984754(0.918) #> 3 0.4538873(0.877) 0.0629188(0.795) 0.0037511(0.636) -0.1562614(1.058) #> 4 -0.1762167(1.006) -0.5117604(0.621) 0.3179643(0.633) 0.1437906(0.917) #> 5 0.5961918(0.659) -0.2692901(0.732) 0.2072068(1.213) -0.7551343(0.877) #> 6 -0.2500926(1.191) 0.3973852(1.487) 0.6877875(1.315) 0.0163132(0.838) #> 7 -0.2485717(0.856) -0.5039966(1.100) 0.0563598(0.772) -0.3294440(0.804) #> 8 -0.0886923(0.805) 0.1017732(1.215) 0.6669485(0.870) 0.2403120(0.807) #> 9 0.5206026(0.968) -0.3530520(0.816) 0.3527771(1.390) -0.3447221(0.754) #> 10 0.2098494(0.871) -0.1255225(0.935) -0.1179385(0.738) -0.1490039(0.851) #> #> units: NA