Rotate Cartesian coordinates obtained from jnd2xyz()
(required) the output from a jnd2xyz() call.
should the vectors for rotation be centered in the achromatic center ("achro") or the data centroid ("mean", the default)?
the cone to be used as a the first reference. May be NULL
(for no first rotation in the 3-dimensional case) or must match name
in the original data that was used for coldist(). Defaults to 'l'.
the cone to be used as a the second reference. May be NULL
(for no first rotation in the 3-dimensional case) or must match name
in the original data that was used for coldist(). Defaults to 'u'.
(only used if data has 3 dimensions).
A vector of length 3 composed of 0's and 1's, with
1's representing the axes (x, y, z) to rotate around. Defaults to c(1, 1, 0), such
that the rotation aligns with the xy plane (only used if data has 2 or 3 dimensions).
Ignored if ref1 is NULL (in 3-dimensional case only)
A vector of length 3 composed of 0's and 1's, with
1's representing the axes (x, y, z) to rotate around. Defaults to c(0, 0, 1), such
that the rotation aligns with the z axis (only used if data has 3 dimensions).
Ignored if ref2 is NULL (in 3-dimensional case only)
# Load floral reflectance spectra
data(flowers)
# Estimate quantum catches visual phenotype of a Blue Tit
vis.flowers <- vismodel(flowers, visual = "bluetit")
# Estimate noise-weighted colour distances between all flowers
cd.flowers <- coldist(vis.flowers)
#> Quantum catch are relative, distances may not be meaningful
#> Calculating noise-weighted Euclidean distances
# Convert points to Cartesian coordinates in which Euclidean distances are
# noise-weighted, before rotating them about the data centroid
jndrot(jnd2xyz(cd.flowers))
#> x y z
#> Goodenia_heterophylla 0.3043555 -5.516498701 6.8629524
#> Goodenia_geniculata -1.1026561 -2.369014577 -6.5456726
#> Goodenia_gracilis -2.7905115 11.389376711 -22.9236622
#> Xyris_operculata 2.8991598 -1.638522717 -2.8997962
#> Eucalyptus_sp -0.6686084 -3.126709336 3.1550303
#> Faradaya_splendida -1.1554277 0.713583456 -2.8528294
#> Gaultheria_hispida 1.5099700 -4.303035463 -1.1742262
#> Geitonoplesium_cymosum 6.6260719 -8.277622401 8.2932612
#> Euryomyrtus_ramosissima -2.0446299 0.004566434 4.6922247
#> Genista_linifolia -0.9202192 -1.564532987 -2.1501789
#> Genista_monspessulana -0.7558614 -2.941635249 -2.4820412
#> Geranium_sp 8.8177712 5.241977926 10.8297259
#> Glycine_clandestina -0.6533986 -2.560055351 -4.2701064
#> Gompholobium_ecostatum_1 2.3269068 -0.300984437 5.5688334
#> Gompholobium_ecostatum_2 -0.7558888 -1.900221252 -5.3306567
#> Gompholobium_grandiflorum -2.1732134 4.938019815 -6.5433920
#> Gompholobium_huegelii 0.3960794 -1.864201051 6.1230907
#> Gompholobium_virgatum 1.3526063 -1.448665692 5.9025137
#> Gonocarpus_humilis -0.6350125 -3.657225209 -2.6939291
#> Gonocarpus_teucrioides -0.5313327 -2.061150168 2.1280934
#> Hibbertia_obtusifolia -0.7880908 -1.241234118 -2.0026397
#> Zieria_arborescens -2.6488920 9.639320108 8.7021306
#> Goodenia_lanata -2.7785027 8.112480123 -12.6997701
#> Goodenia_ovata -1.1444822 10.925514238 9.6861976
#> Goodenia_rotundifolia 1.5433111 -6.679755139 6.1909786
#> Grevillea_buxifolia 1.7437703 -3.855164992 1.9123426
#> Grevillea_steiglitziana -3.4131666 5.885033918 -1.1327863
#> Grevillea_oleoides -0.7171963 -2.936033254 -4.1570956
#> Gymnostachys_anceps -2.5572567 10.584762035 -9.8694685
#> Hakea_actites -0.1690555 -6.462443652 8.4297774
#> Hardenbergia_violaceae -1.4260671 0.772786755 -3.4332417
#> Hibbertia_acicularis -0.6369595 -3.354876726 1.9458170
#> Hibbertia_bracteata 6.6696068 -3.577994067 1.6605064
#> Hibbertia_empetrifolia -2.1940185 8.619401043 8.8247528
#> Hibbertia_procumbens -0.5525492 -3.263070039 -0.3154626
#> Hibbertia_linearis -0.9766118 -1.926175986 -7.4312733