Convert objects to Momocs coordinate and coefficient classes.
Usage
as_coo(x)
as_out(x)
as_ldk(x)
as_xy(x)
as_ldk_id(x)
as_cur(x)
as_path(x)
as_coe(x)
as_eft(x)
as_dct(x)
as_npoly(x)
as_opoly(x)
as_proc(x)Details
List columns classes
as_coo(): list of generic coordinate objectsas_out(): list of outlinesas_ldk(): list of landmarksas_cur(): list of curves (open outlines)
Single matrices
as_xy(): single xy matrix Non-coordinate classes:as_ldk_id(): landmark identifiers (not inherits from coo)as_path(): list of paths
Coefficient classes (all inherit from "coe"):
as_coe(): generic coefficient objectas_eft(): (out) Elliptic Fourier Transform coefficientsas_proc(): (ldk) Procrustes-aligned coefficientsas_dct(): (cur) Discrete Cosine Transform coefficientsas_npoly(): (cur) natural polynomial coefficientsas_opoly(): (cur) orthogonal polynomial coefficients
Examples
mat <- matrix(rnorm(100), ncol = 2)
as_coo(mat)
#> [,1] [,2]
#> [1,] 0.255317055 -0.24323674
#> [2,] -2.437263611 -0.20608719
#> [3,] -0.005571287 0.01917759
#> [4,] 0.621552721 0.02956075
#> [5,] 1.148411606 0.54982754
#> [6,] -1.821817661 -2.27411486
#> [7,] -0.247325302 2.68255718
#> [8,] -0.244199607 -0.36122126
#> [9,] -0.282705449 0.21335575
#> [10,] -0.553699384 1.07434588
#> [11,] 0.628982042 -0.66508825
#> [12,] 2.065024895 1.11395242
#> [13,] -1.630989402 -0.24589641
#> [14,] 0.512426950 -1.17756331
#> [15,] -1.863011492 -0.97585062
#> [16,] -0.522012515 1.06505732
#> [17,] -0.052601910 0.13167063
#> [18,] 0.542996343 0.48862881
#> [19,] -0.914074827 -1.69945057
#> [20,] 0.468154420 -1.47073631
#> [21,] 0.362951256 0.28415034
#> [22,] -1.304543545 1.33732041
#> [23,] 0.737776321 0.23669628
#> [24,] 1.888504929 1.31829338
#> [25,] -0.097445104 0.52390979
#> [26,] -0.935847354 0.60674805
#> [27,] -0.015950311 -0.10993567
#> [28,] -0.826788954 0.17218172
#> [29,] -1.512399651 -0.09032729
#> [30,] 0.935363190 1.92434334
#> [31,] 0.176488611 1.29839276
#> [32,] 0.243685465 0.74879127
#> [33,] 1.623548883 0.55622433
#> [34,] 0.112038083 -0.54825726
#> [35,] -0.133997013 1.11053489
#> [36,] -1.910087468 -2.61233433
#> [37,] -0.279237242 -0.15569378
#> [38,] -0.313445978 0.43388979
#> [39,] 1.067307879 -0.38195111
#> [40,] 0.070034850 0.42418757
#> [41,] -0.639123324 1.06310200
#> [42,] -0.049964899 1.04871262
#> [43,] -0.251483443 -0.03810289
#> [44,] 0.444797116 0.48614892
#> [45,] 2.755417575 1.67288261
#> [46,] 0.046531380 -0.35436116
#> [47,] 0.577709069 0.94634789
#> [48,] 0.118194874 1.31682636
#> [49,] -1.911720491 -0.29664002
#> [50,] 0.862086482 -0.38721358
#> attr(,"class")
#> [1] "coo" "matrix" "array"
as_out(mat)
#> [,1] [,2]
#> [1,] 0.255317055 -0.24323674
#> [2,] -2.437263611 -0.20608719
#> [3,] -0.005571287 0.01917759
#> [4,] 0.621552721 0.02956075
#> [5,] 1.148411606 0.54982754
#> [6,] -1.821817661 -2.27411486
#> [7,] -0.247325302 2.68255718
#> [8,] -0.244199607 -0.36122126
#> [9,] -0.282705449 0.21335575
#> [10,] -0.553699384 1.07434588
#> [11,] 0.628982042 -0.66508825
#> [12,] 2.065024895 1.11395242
#> [13,] -1.630989402 -0.24589641
#> [14,] 0.512426950 -1.17756331
#> [15,] -1.863011492 -0.97585062
#> [16,] -0.522012515 1.06505732
#> [17,] -0.052601910 0.13167063
#> [18,] 0.542996343 0.48862881
#> [19,] -0.914074827 -1.69945057
#> [20,] 0.468154420 -1.47073631
#> [21,] 0.362951256 0.28415034
#> [22,] -1.304543545 1.33732041
#> [23,] 0.737776321 0.23669628
#> [24,] 1.888504929 1.31829338
#> [25,] -0.097445104 0.52390979
#> [26,] -0.935847354 0.60674805
#> [27,] -0.015950311 -0.10993567
#> [28,] -0.826788954 0.17218172
#> [29,] -1.512399651 -0.09032729
#> [30,] 0.935363190 1.92434334
#> [31,] 0.176488611 1.29839276
#> [32,] 0.243685465 0.74879127
#> [33,] 1.623548883 0.55622433
#> [34,] 0.112038083 -0.54825726
#> [35,] -0.133997013 1.11053489
#> [36,] -1.910087468 -2.61233433
#> [37,] -0.279237242 -0.15569378
#> [38,] -0.313445978 0.43388979
#> [39,] 1.067307879 -0.38195111
#> [40,] 0.070034850 0.42418757
#> [41,] -0.639123324 1.06310200
#> [42,] -0.049964899 1.04871262
#> [43,] -0.251483443 -0.03810289
#> [44,] 0.444797116 0.48614892
#> [45,] 2.755417575 1.67288261
#> [46,] 0.046531380 -0.35436116
#> [47,] 0.577709069 0.94634789
#> [48,] 0.118194874 1.31682636
#> [49,] -1.911720491 -0.29664002
#> [50,] 0.862086482 -0.38721358
#> attr(,"class")
#> [1] "out" "coo" "matrix" "array"
as_ldk(mat)
#> [,1] [,2]
#> [1,] 0.255317055 -0.24323674
#> [2,] -2.437263611 -0.20608719
#> [3,] -0.005571287 0.01917759
#> [4,] 0.621552721 0.02956075
#> [5,] 1.148411606 0.54982754
#> [6,] -1.821817661 -2.27411486
#> [7,] -0.247325302 2.68255718
#> [8,] -0.244199607 -0.36122126
#> [9,] -0.282705449 0.21335575
#> [10,] -0.553699384 1.07434588
#> [11,] 0.628982042 -0.66508825
#> [12,] 2.065024895 1.11395242
#> [13,] -1.630989402 -0.24589641
#> [14,] 0.512426950 -1.17756331
#> [15,] -1.863011492 -0.97585062
#> [16,] -0.522012515 1.06505732
#> [17,] -0.052601910 0.13167063
#> [18,] 0.542996343 0.48862881
#> [19,] -0.914074827 -1.69945057
#> [20,] 0.468154420 -1.47073631
#> [21,] 0.362951256 0.28415034
#> [22,] -1.304543545 1.33732041
#> [23,] 0.737776321 0.23669628
#> [24,] 1.888504929 1.31829338
#> [25,] -0.097445104 0.52390979
#> [26,] -0.935847354 0.60674805
#> [27,] -0.015950311 -0.10993567
#> [28,] -0.826788954 0.17218172
#> [29,] -1.512399651 -0.09032729
#> [30,] 0.935363190 1.92434334
#> [31,] 0.176488611 1.29839276
#> [32,] 0.243685465 0.74879127
#> [33,] 1.623548883 0.55622433
#> [34,] 0.112038083 -0.54825726
#> [35,] -0.133997013 1.11053489
#> [36,] -1.910087468 -2.61233433
#> [37,] -0.279237242 -0.15569378
#> [38,] -0.313445978 0.43388979
#> [39,] 1.067307879 -0.38195111
#> [40,] 0.070034850 0.42418757
#> [41,] -0.639123324 1.06310200
#> [42,] -0.049964899 1.04871262
#> [43,] -0.251483443 -0.03810289
#> [44,] 0.444797116 0.48614892
#> [45,] 2.755417575 1.67288261
#> [46,] 0.046531380 -0.35436116
#> [47,] 0.577709069 0.94634789
#> [48,] 0.118194874 1.31682636
#> [49,] -1.911720491 -0.29664002
#> [50,] 0.862086482 -0.38721358
#> attr(,"class")
#> [1] "ldk" "coo" "matrix" "array"
coefs <- rnorm(20)
as_eft(coefs)
#> [1] -0.7854327 -1.0567369 -0.7955414 -1.7562754 -0.6905379 -0.5585420
#> [7] -0.5366633 0.2271271 0.9784549 -0.2088827 -1.3994105 0.2585373
#> [13] -0.4417995 0.5685999 2.1268505 0.4248584 -1.6842815 0.2494018
#> [19] 1.0728383 2.0393693
#> attr(,"class")
#> [1] "eft" "coe" "numeric"
as_dct(coefs)
#> [1] -0.7854327 -1.0567369 -0.7955414 -1.7562754 -0.6905379 -0.5585420
#> [7] -0.5366633 0.2271271 0.9784549 -0.2088827 -1.3994105 0.2585373
#> [13] -0.4417995 0.5685999 2.1268505 0.4248584 -1.6842815 0.2494018
#> [19] 1.0728383 2.0393693
#> attr(,"class")
#> [1] "dct" "coe" "numeric"