Mizer supplies print() methods for the array-like objects returned by many
rate and summary functions. These methods print a compact preview of the
underlying matrix, array or vector: a header reporting the value name,
dimensions and units, followed by the actual values, truncated to fit the
console when the array is large. Species are truncated to a leading
subset, sizes to an evenly log-spaced sample spanning the full size range
(because size grids are uniform in log-space, this shows small, medium and
large individuals rather than just the smallest), and time series to a
representative sample of time steps that always includes the first and
last. A trailing note reports how much was omitted. A three-dimensional
ArrayTimeBySpeciesBySize() object is previewed via its final time slice,
matching the default behaviour of plot() for that class.
Usage
# S3 method for class 'ArraySpeciesBySize'
print(x, ...)
# S3 method for class 'ArrayTimeBySpecies'
print(x, ...)
# S3 method for class 'ArrayTimeBySpeciesBySize'
print(x, ...)
# S3 method for class 'summary.ArraySpeciesBySize'
print(x, ...)
# S3 method for class 'summary.ArrayTimeBySpecies'
print(x, ...)
# S3 method for class 'summary.ArrayTimeBySpeciesBySize'
print(x, ...)Details
For full numeric access, use the object itself as an ordinary matrix, array
or vector, or convert it to a long data frame with as.data.frame().
Examples
# \donttest{
enc <- getEncounter(NS_params)
print(enc)
#> Encounter rate (12 species x 100 sizes) [g/year]
#> w
#> sp 0.001 0.083 5.78 480 39900
#> Sprat 0.2992076 5.644995 86.66687 1415.973 39573.31
#> Sandeel 0.4528175 8.595592 139.51701 2337.603 45507.81
#> N.pout 0.5019776 8.287777 156.34311 13066.882 147886.62
#> Herring 0.5752333 10.919341 177.48877 3117.693 80375.40
#> Dab 0.4916095 8.431667 138.67700 7768.097 266704.99
#> Whiting 0.4362525 7.245051 144.21893 14369.422 137539.48
#> Sole 0.3646753 6.316326 95.11713 3313.102 148784.12
#> Gurnard 0.3122260 5.367747 79.36674 3106.902 135351.68
#> Plaice 0.2323659 3.947683 70.59929 4552.016 113242.16
#> Haddock 0.5964130 10.429942 156.03134 5779.822 334719.58
#> Cod 0.9658343 16.222960 277.59361 25639.777 436916.91
#> Saithe 0.7709631 12.790324 174.21669 8311.746 187775.81
#> ... showing 5 of 100 sizes (0.001-39900 g, log-spaced); use as.data.frame() for the full data.
biomass <- getBiomass(NS_sim)
print(biomass)
#> Biomass (44 times x 12 species) [g]
#> sp
#> time Sprat Sandeel N.pout Herring Dab
#> 1967 50836384568 3.652370e+12 369838053933 524328920325 12000395984
#> 1973 50839649651 3.473508e+12 379087254642 275699594393 15382241615
#> 1979 53959238723 3.491434e+12 366843337845 387672220331 15243035268
#> 1985 26402174254 1.560356e+12 259806502396 470470157764 17635191965
#> 1992 23968401712 1.054672e+12 280632920267 430699336339 17284466852
#> 1998 31797035009 1.196296e+12 298030880150 429335887928 17479136749
#> 2004 39165801326 8.759191e+11 308055191214 466925281965 17886308035
#> 2010 36176429846 1.485299e+12 314880676670 408224168356 13458725479
#> sp
#> time Whiting Sole Gurnard Plaice Haddock
#> 1967 212534518393 128000031283 112908385702 2.276969e+12 627337734289
#> 1973 198345867124 98802757219 126999037442 2.504534e+12 540856360154
#> 1979 203662469253 103336430875 128644143259 2.405585e+12 549722419283
#> 1985 230237668108 101386030179 136973131775 2.250395e+12 660555395410
#> 1992 210367548378 119317446198 139092975786 2.113924e+12 635310276953
#> 1998 225880531337 100964781131 130801173560 1.974046e+12 686858953059
#> 2004 256540673031 103173835279 120019621650 2.104679e+12 797473701793
#> 2010 234404573351 104251576449 106732083088 2.756253e+12 820508475928
#> sp
#> time Cod Saithe
#> 1967 1.618389e+12 1.062987e+12
#> 1973 4.168507e+11 8.263818e+11
#> 1979 3.953260e+11 7.936321e+11
#> 1985 3.145550e+11 6.917586e+11
#> 1992 3.253935e+11 7.026828e+11
#> 1998 2.851026e+11 8.633221e+11
#> 2004 2.624314e+11 9.193638e+11
#> 2010 4.036150e+11 7.748924e+11
#> ... showing 8 of 44 times (1967-2010, evenly spaced); use as.data.frame() for the full data.
# }