Standard display of an object contents in an interactive session. Objects of
class FLQuant
with length > 1 along the sixth dimension
(iter) are output in a summarised form, as median(mad)
, where
mad is the median absolute deviation. See mad
.
Details
The same format is used for objects of class FLPar
with
length > 1 on the last dimension (iter).
Examples
# no 'iter'
flq <- FLQuant(rnorm(80), dim=c(4,20), quant='age', units='kg')
flq
#> An object of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1 2 3 4 5 6 7
#> 1 1.271252 0.032911 0.375711 -0.439019 -0.838299 1.163149 0.818696
#> 2 0.243976 2.094692 1.572370 -0.995664 -0.506914 1.166703 -0.480893
#> 3 0.848595 1.130655 -1.136223 -0.052321 -0.203883 0.841376 -0.864438
#> 4 0.071205 1.753819 -0.490602 0.268262 0.311160 -0.650181 -0.905919
#> year
#> age 8 9 10 11 12 13 14
#> 1 0.153291 -0.712742 0.533097 1.830176 0.343902 0.226830 0.360262
#> 2 0.495628 -0.465994 -0.812553 0.689716 -0.446518 0.642837 -0.512805
#> 3 -0.373004 0.187112 -0.813350 -0.222695 -0.794747 0.219696 0.110008
#> 4 0.314186 0.110642 0.468605 0.338550 -0.782291 -0.015230 1.312848
#> year
#> age 15 16 17 18 19 20
#> 1 0.014958 1.016462 -0.738116 0.627374 1.847553 -0.995209
#> 2 0.190096 -0.183635 0.526129 0.925017 -0.269524 0.602072
#> 3 -0.779454 -0.988987 -0.438680 0.160177 -0.278919 -1.856290
#> 4 -1.366896 0.440471 0.671194 -1.119939 0.250624 -0.610363
#>
#> units: kg
# with 'iter'
flq <- FLQuant(rnorm(800), dim=c(4,20,1,1,1,10), quant='age', units='kg')
flq
#> An object of class "FLQuant"
#> iters: 10
#>
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1 2 3 4
#> 1 -0.3089296(0.899) 0.0631446(0.592) 0.2551947(0.591) 0.0862811(1.159)
#> 2 0.8942780(0.616) -0.0178774(0.910) -0.0290428(0.976) -0.0450279(0.705)
#> 3 0.0146506(0.744) -0.3430955(1.009) -0.1736159(1.202) -0.1475128(0.764)
#> 4 0.3368354(0.777) 0.2662023(0.958) -0.2165251(1.078) -0.3996970(0.634)
#> year
#> age 5 6 7 8
#> 1 0.0114645(1.308) -0.3046330(0.304) -0.1350969(0.919) -0.4944649(1.792)
#> 2 0.2693854(1.314) 0.2028819(0.523) -0.4081432(0.475) -0.1746503(0.869)
#> 3 -0.1559973(1.105) -0.1045653(0.672) 0.0579263(0.899) 0.1712732(1.382)
#> 4 -0.2390533(0.822) -0.2301584(0.916) 0.2340851(0.449) -0.1444576(1.356)
#> year
#> age 9 10 11 12
#> 1 -0.3668160(1.180) 0.1910958(1.253) 0.3319283(0.479) 0.1530920(0.997)
#> 2 0.3299629(0.976) 0.5383774(1.010) -0.2158444(1.170) 0.7036873(1.290)
#> 3 0.0354759(1.055) 0.0031582(0.898) -0.3911477(1.132) -0.0133351(1.542)
#> 4 -0.4160365(1.094) -0.2595765(1.280) 0.1028569(0.807) -0.0619296(0.887)
#> year
#> age 13 14 15 16
#> 1 0.3143253(0.677) -0.6711947(0.554) -0.5340848(0.489) 0.4195613(0.884)
#> 2 0.0179421(0.543) -0.2930193(0.862) -0.5833958(0.522) 0.1534410(0.955)
#> 3 0.2347924(0.734) -0.1337129(0.770) 0.3144784(0.872) 0.2939867(1.431)
#> 4 0.4103916(1.485) 0.1070403(0.661) 0.4149749(0.945) -0.1032012(0.644)
#> year
#> age 17 18 19 20
#> 1 -0.4409126(0.625) 0.5630499(0.390) -0.2518662(1.103) 0.4655326(0.714)
#> 2 -0.3165033(1.062) -0.3608176(0.396) -0.4430595(0.566) 0.7060585(0.436)
#> 3 0.1738286(1.078) 0.1950127(1.081) 0.0762994(0.903) -0.5391107(0.851)
#> 4 -0.6829497(0.679) -0.1380817(0.420) -0.0465230(1.498) -0.4580658(0.530)
#>
#> units: kg