Methods for AnansiWeb S7 container class
See also
weaveWeb(): for general use.AnansiWeb-pairwise: for methods for pairwise operations
Examples
# Setup
web <- randomWeb(n_samp = 36)
# Accessors
dimnames(web)
#> $y
#> [1] "y_1" "y_2" "y_3" "y_4" "y_5" "y_6" "y_7" "y_8" "y_9" "y_10"
#> [11] "y_11" "y_12"
#>
#> $x
#> [1] "x_1" "x_2" "x_3" "x_4" "x_5" "x_6" "x_7" "x_8"
#>
dim(web)
#> [1] 12 8
names(web)
#> [1] "y" "x"
# Getters and setters:
tableX(web)
#> x
#> sample_id x_1 x_2 x_3 x_4
#> anansi_ID_sample_1_1 1.36977586 -0.71753865 0.36242404 0.74322814
#> anansi_ID_sample_2_1 -0.02011003 0.36169476 2.16934446 0.55715361
#> anansi_ID_sample_3_1 -0.10921759 1.39900429 0.13913051 -1.24858322
#> anansi_ID_sample_4_1 0.26466174 0.37269896 1.37632653 -0.20787431
#> anansi_ID_sample_5_1 0.30384826 -1.56564429 -0.49144999 0.42396946
#> anansi_ID_sample_6_1 -0.18338848 -0.05169454 1.53491576 -0.50669744
#> anansi_ID_sample_7_1 0.55964967 0.51408210 -0.41619872 -0.61152331
#> anansi_ID_sample_8_1 -0.18655384 0.54989952 -0.52054380 2.41165945
#> anansi_ID_sample_9_1 -0.81227537 0.86781691 0.85058387 -0.16495814
#> anansi_ID_sample_10_1 -1.64058167 0.68436008 0.33449657 -0.44040605
#> anansi_ID_sample_11_1 0.50792248 -0.16267998 -0.82935177 0.52197617
#> anansi_ID_sample_12_1 1.75433696 -1.78436472 -0.21869594 -1.91832225
#> anansi_ID_sample_13_1 0.59240020 -1.03714557 -1.54508372 -1.98264996
#> anansi_ID_sample_14_1 1.01671329 0.83014772 0.23322978 0.52120016
#> anansi_ID_sample_15_1 0.12162059 0.60734694 0.03106964 0.77778320
#> anansi_ID_sample_16_1 -1.07806726 -0.12218636 0.35786565 -0.81211887
#> anansi_ID_sample_17_1 -1.14356572 0.93312514 1.60862422 0.91074832
#> anansi_ID_sample_18_1 -0.52964368 -0.96127668 1.42985426 0.94875395
#> anansi_ID_sample_19_1 -0.68127316 0.25508171 -0.94833964 -1.34804945
#> anansi_ID_sample_20_1 -0.20244756 -0.54540157 1.01570554 0.35417586
#> anansi_ID_sample_21_1 1.68449572 0.93036074 0.03773461 0.53026393
#> anansi_ID_sample_22_1 -1.03377324 -0.53765056 -1.74423940 -0.31097493
#> anansi_ID_sample_23_1 -0.15597667 -0.45242607 -0.97007381 -0.24415553
#> anansi_ID_sample_24_1 -0.04640064 -0.43929097 -0.22902736 -0.29187819
#> anansi_ID_sample_25_1 -0.95362873 -0.61622311 -0.97484568 -1.12808616
#> anansi_ID_sample_26_1 0.41626080 0.44163455 2.69237242 -1.12288159
#> anansi_ID_sample_27_1 0.11402961 0.48259745 1.39239386 2.05393864
#> anansi_ID_sample_28_1 0.06391875 0.54214438 1.36007615 -0.90951843
#> anansi_ID_sample_29_1 -0.91933224 -2.29078465 -0.36541588 0.45837916
#> anansi_ID_sample_30_1 0.90133529 0.31035185 -0.86893720 -0.04661845
#> anansi_ID_sample_31_1 -0.79772830 1.40407898 -0.50655673 -0.68095460
#> anansi_ID_sample_32_1 0.66822120 1.37711764 1.21470730 -1.48882940
#> anansi_ID_sample_33_1 0.15521430 1.06039565 0.50695868 -0.39251301
#> anansi_ID_sample_34_1 0.12868809 0.63217289 -2.09497131 -1.74968202
#> anansi_ID_sample_35_1 -1.53306545 1.08492804 0.03407924 -0.03866763
#> anansi_ID_sample_36_1 0.20236067 1.35645944 0.85272870 -0.79715324
#> x
#> sample_id x_5 x_6 x_7 x_8
#> anansi_ID_sample_1_1 -0.91592054 -0.14889834 0.54942132 -1.64674913
#> anansi_ID_sample_2_1 0.07326746 -0.17782336 -0.86983920 -1.92355227
#> anansi_ID_sample_3_1 1.23817132 0.80312186 -0.03921465 0.38083303
#> anansi_ID_sample_4_1 0.71837134 -0.41579535 -0.51845168 1.37570535
#> anansi_ID_sample_5_1 0.53946650 1.21248959 -0.91184962 0.82584873
#> anansi_ID_sample_6_1 -1.06123399 1.24036003 0.15031364 -0.41611500
#> anansi_ID_sample_7_1 -0.54073787 0.68567588 0.44035545 0.98214959
#> anansi_ID_sample_8_1 -0.71520471 -0.02679868 1.31978206 0.24218073
#> anansi_ID_sample_9_1 -0.17892009 0.30958051 0.24656113 -0.93792685
#> anansi_ID_sample_10_1 0.16497028 0.24986433 0.94182660 1.50585850
#> anansi_ID_sample_11_1 -0.72740817 -1.35646087 -0.34215133 -1.06585117
#> anansi_ID_sample_12_1 -0.53783713 0.59937977 -0.27614681 0.16227053
#> anansi_ID_sample_13_1 -0.59966490 0.00864779 0.38365678 0.26047039
#> anansi_ID_sample_14_1 1.18208775 0.09071661 1.44691022 -1.48820199
#> anansi_ID_sample_15_1 0.18921288 -0.65705741 1.73390029 1.41518387
#> anansi_ID_sample_16_1 0.24894911 -0.48178225 0.45642938 0.56250751
#> anansi_ID_sample_17_1 1.04664341 0.01775788 0.70750349 0.64205574
#> anansi_ID_sample_18_1 -1.28930094 -0.85953576 2.06378922 -0.89053264
#> anansi_ID_sample_19_1 0.37511557 1.35770498 0.02391059 -0.11653752
#> anansi_ID_sample_20_1 -0.55691839 1.21506118 0.24594946 -0.94197475
#> anansi_ID_sample_21_1 0.30242663 1.45391292 0.27205914 1.11582792
#> anansi_ID_sample_22_1 0.22226647 -0.08591198 -0.99245858 0.47013513
#> anansi_ID_sample_23_1 -0.96216696 -0.61756875 -0.02757795 0.86061271
#> anansi_ID_sample_24_1 0.05203237 -0.21826025 2.22284516 -0.07039665
#> anansi_ID_sample_25_1 0.90004038 -1.32600521 0.15550390 -0.61318021
#> anansi_ID_sample_26_1 -0.39490088 -2.36220890 -0.86911632 -0.33671496
#> anansi_ID_sample_27_1 0.95414600 -1.40996955 -1.17448945 -0.21584018
#> anansi_ID_sample_28_1 -0.58821435 0.25439714 -1.75967731 0.62113229
#> anansi_ID_sample_29_1 -1.47658453 0.29587030 0.05836159 -1.28402652
#> anansi_ID_sample_30_1 -1.37777577 0.05678979 1.16451986 -1.30009244
#> anansi_ID_sample_31_1 -1.34567231 -0.10265486 0.33762789 -0.37676946
#> anansi_ID_sample_32_1 -0.73663796 1.95192303 -1.05451872 0.10374865
#> anansi_ID_sample_33_1 -0.47011150 0.87856596 0.66076911 -0.70356227
#> anansi_ID_sample_34_1 1.38060934 -1.30661693 -0.82340900 1.49741394
#> anansi_ID_sample_35_1 1.67501093 0.09034427 0.43703366 -0.30282688
#> anansi_ID_sample_36_1 1.17690663 0.90235804 0.37238811 -1.37683133
tableY(web)
#> y
#> sample_id y_1 y_2 y_3 y_4
#> anansi_ID_sample_1_1 -0.22174452 1.39397780 1.803483361 -0.37802855
#> anansi_ID_sample_2_1 -1.00952872 0.36027830 -0.105068694 1.73611104
#> anansi_ID_sample_3_1 0.48072527 0.65455025 0.982453362 -0.84524782
#> anansi_ID_sample_4_1 1.60440733 1.05215542 -1.713302622 -0.96157149
#> anansi_ID_sample_5_1 -1.51502453 -1.97955513 -0.832019527 1.01749105
#> anansi_ID_sample_6_1 -1.41602391 1.20838561 1.100491882 -1.49605374
#> anansi_ID_sample_7_1 0.87677733 -0.16928008 -0.173820106 -1.18481873
#> anansi_ID_sample_8_1 0.62413241 0.29502975 0.178812018 0.63023437
#> anansi_ID_sample_9_1 2.11227729 1.26634059 -0.698429449 2.10125251
#> anansi_ID_sample_10_1 -0.35612442 -1.13534326 -0.960449159 -0.61373681
#> anansi_ID_sample_11_1 -1.06446421 -1.13105380 -0.975423042 -1.63463827
#> anansi_ID_sample_12_1 1.07711654 0.10999338 -0.338576503 -0.01044112
#> anansi_ID_sample_13_1 1.18157557 0.85290541 1.152347074 -0.65650614
#> anansi_ID_sample_14_1 0.19839209 -0.23433786 0.405101183 -0.66953344
#> anansi_ID_sample_15_1 -0.40040525 2.08668857 -0.470922497 -0.47858903
#> anansi_ID_sample_16_1 0.61615428 -0.11091937 -0.133251019 1.31945632
#> anansi_ID_sample_17_1 1.97415675 -1.39284706 1.226682356 0.63656276
#> anansi_ID_sample_18_1 1.88466232 -1.14229077 0.332943995 0.51432778
#> anansi_ID_sample_19_1 -1.58862055 1.70460874 -0.347088466 -1.75137511
#> anansi_ID_sample_20_1 -0.53992316 -0.08007363 -0.098550690 0.89359752
#> anansi_ID_sample_21_1 -1.16946146 -0.43728124 0.034766060 0.22303837
#> anansi_ID_sample_22_1 0.55910599 -0.11921509 0.386127022 0.58081659
#> anansi_ID_sample_23_1 -1.81934725 0.78646286 0.020831228 -0.17782142
#> anansi_ID_sample_24_1 0.39334397 -0.57894525 0.007586777 0.74096671
#> anansi_ID_sample_25_1 0.04213411 -0.14542689 0.930844030 -0.99744308
#> anansi_ID_sample_26_1 1.17966418 0.52645799 -0.684749941 -2.93897756
#> anansi_ID_sample_27_1 -0.25692118 1.73357811 0.337401513 0.71901566
#> anansi_ID_sample_28_1 -1.05633610 1.44865722 -0.412137704 -0.69800504
#> anansi_ID_sample_29_1 0.19877721 1.51819315 0.934261130 -1.89412584
#> anansi_ID_sample_30_1 0.65053355 -0.38400725 1.840316741 0.07629925
#> anansi_ID_sample_31_1 0.34391334 1.82712518 -0.704819663 0.87530850
#> anansi_ID_sample_32_1 1.47753231 -0.55149175 0.008510312 0.45382739
#> anansi_ID_sample_33_1 0.07202570 -0.86575354 2.034189886 -0.85071691
#> anansi_ID_sample_34_1 2.12644453 -0.34383148 -1.341686068 0.56620161
#> anansi_ID_sample_35_1 -1.47619691 1.06287646 1.158979182 1.15221195
#> anansi_ID_sample_36_1 0.40788850 0.81305820 -0.203208958 -0.75619738
#> y
#> sample_id y_5 y_6 y_7 y_8
#> anansi_ID_sample_1_1 -0.489258334 -0.80773497 0.70526701 -0.62743462
#> anansi_ID_sample_2_1 -1.166052337 -0.86048993 0.99144168 -0.21662915
#> anansi_ID_sample_3_1 -0.479668950 -2.16923869 1.14424897 -0.68371382
#> anansi_ID_sample_4_1 0.115348218 -1.37583652 -1.23891024 -0.44470273
#> anansi_ID_sample_5_1 -1.768048407 -0.49313247 2.65489833 0.60648981
#> anansi_ID_sample_6_1 -1.407638919 -0.58165203 -0.15691719 0.62418307
#> anansi_ID_sample_7_1 0.709178461 -0.16722930 -0.42349012 -0.69543107
#> anansi_ID_sample_8_1 -1.240842940 0.48599313 -0.19838706 -0.78363908
#> anansi_ID_sample_9_1 -0.368327348 -1.33339580 -0.89480241 -0.95312386
#> anansi_ID_sample_10_1 0.462080093 -0.26196562 0.90426912 1.79275607
#> anansi_ID_sample_11_1 -0.322833101 0.65238630 0.07964921 0.34897670
#> anansi_ID_sample_12_1 -1.287214810 0.74885497 -1.25882722 0.25910377
#> anansi_ID_sample_13_1 -1.030040247 0.89656029 1.02568511 -0.80595190
#> anansi_ID_sample_14_1 1.514089316 1.48930042 -0.73077860 0.10566470
#> anansi_ID_sample_15_1 0.346903586 -0.65940348 -0.19014551 -0.33359968
#> anansi_ID_sample_16_1 1.779441542 0.53728318 0.52886469 1.64184797
#> anansi_ID_sample_17_1 0.386630924 0.74680307 0.55021053 -0.64390586
#> anansi_ID_sample_18_1 -0.918695239 1.89631708 0.54968434 0.58702056
#> anansi_ID_sample_19_1 -1.584336488 -2.06007072 -0.65954237 -0.15040309
#> anansi_ID_sample_20_1 -0.084058892 0.06454387 0.05742171 -1.71082185
#> anansi_ID_sample_21_1 -2.085070889 -0.26514740 -2.80801051 1.43103256
#> anansi_ID_sample_22_1 0.003567992 -0.44734453 -0.91225975 -2.64521227
#> anansi_ID_sample_23_1 -0.355770822 -1.41070093 -0.78237916 -1.03245741
#> anansi_ID_sample_24_1 1.146359751 -0.50641888 -0.66410492 -0.70746643
#> anansi_ID_sample_25_1 -0.221188446 -0.26976184 0.62630977 -0.70056001
#> anansi_ID_sample_26_1 1.018179021 -1.08515492 -0.50724821 0.53788544
#> anansi_ID_sample_27_1 -0.263719295 0.36215913 0.27036133 -0.31633217
#> anansi_ID_sample_28_1 1.658542305 -0.33567214 0.46747686 -0.83962275
#> anansi_ID_sample_29_1 -0.774086771 1.36380450 0.72399496 -1.35492806
#> anansi_ID_sample_30_1 -0.923937880 -0.71152414 0.61383694 -0.81756827
#> anansi_ID_sample_31_1 -0.275533378 0.66217880 -0.61786920 -0.63440000
#> anansi_ID_sample_32_1 -0.593399688 0.29113022 0.22072490 0.81594943
#> anansi_ID_sample_33_1 -0.122285891 0.19795800 1.12792660 0.30279571
#> anansi_ID_sample_34_1 1.179784246 -1.20356611 1.81345434 1.80708662
#> anansi_ID_sample_35_1 0.641037374 -0.03981704 -0.08382568 -0.89402676
#> anansi_ID_sample_36_1 -0.629588508 0.68698246 1.36770667 -0.04642821
#> y
#> sample_id y_9 y_10 y_11 y_12
#> anansi_ID_sample_1_1 -0.47117914 -0.12145080 -0.1621165 -1.020423391
#> anansi_ID_sample_2_1 -0.52669263 1.33644680 0.3520101 0.048814436
#> anansi_ID_sample_3_1 -0.09513491 -0.86035618 -0.2890583 -0.771888628
#> anansi_ID_sample_4_1 -2.49536481 0.66653782 0.1046622 -0.785235068
#> anansi_ID_sample_5_1 0.16688922 -1.42153475 0.7201865 -0.726603031
#> anansi_ID_sample_6_1 0.35049238 1.17005617 -0.6110461 0.681878032
#> anansi_ID_sample_7_1 1.43370101 -1.40471454 -1.1069141 -0.229843287
#> anansi_ID_sample_8_1 0.76590680 1.10170810 0.5348033 -1.510601724
#> anansi_ID_sample_9_1 1.16752067 0.69798626 0.7360680 -0.583727687
#> anansi_ID_sample_10_1 -0.13694343 -0.86434980 -1.2225016 -2.022918454
#> anansi_ID_sample_11_1 -0.51490204 -1.09147035 1.0214153 0.403504676
#> anansi_ID_sample_12_1 1.51974447 -0.03705146 0.4651652 0.550015549
#> anansi_ID_sample_13_1 -0.32849168 0.81005379 0.7904727 0.028357122
#> anansi_ID_sample_14_1 -0.05367151 -0.49935541 -0.1302648 0.893165020
#> anansi_ID_sample_15_1 -0.56352463 0.94803159 -0.9302853 -0.376555496
#> anansi_ID_sample_16_1 -0.74390896 -0.17424596 -0.3648510 0.605884808
#> anansi_ID_sample_17_1 -0.10904165 -1.10623595 0.1538725 -0.004874726
#> anansi_ID_sample_18_1 -0.56082923 -0.94598501 0.4131548 -0.520796373
#> anansi_ID_sample_19_1 0.18800155 0.28908959 2.4808234 -0.639018598
#> anansi_ID_sample_20_1 0.74885094 0.87691314 -2.1799567 -0.635894137
#> anansi_ID_sample_21_1 -1.91653832 -1.14890394 0.4208746 0.106586975
#> anansi_ID_sample_22_1 0.23609585 -1.13761276 -0.3575283 1.176914248
#> anansi_ID_sample_23_1 0.62895342 -1.43724674 -0.6468615 0.447391153
#> anansi_ID_sample_24_1 0.41792568 -0.49414348 -0.0501418 2.272954766
#> anansi_ID_sample_25_1 1.97675848 0.84080181 0.4169428 0.136058206
#> anansi_ID_sample_26_1 -0.50628630 0.79153412 -0.6325875 -1.999039133
#> anansi_ID_sample_27_1 -1.10996885 -0.16884895 1.1501467 -0.420500870
#> anansi_ID_sample_28_1 -0.94870572 0.61272210 -0.2354759 -0.378407395
#> anansi_ID_sample_29_1 0.47684376 -0.77115892 -1.6431074 1.220774789
#> anansi_ID_sample_30_1 -0.79520156 0.88862899 -1.5033821 -1.541030292
#> anansi_ID_sample_31_1 0.23432692 0.01321448 -2.0505848 -0.310310122
#> anansi_ID_sample_32_1 -1.22245110 0.22533951 -0.7531982 -0.020108184
#> anansi_ID_sample_33_1 -2.45364735 -0.72991521 -0.1341420 -2.390200336
#> anansi_ID_sample_34_1 -1.48926081 -1.22248707 1.0057828 0.889865359
#> anansi_ID_sample_35_1 -0.43214773 0.40680517 2.1671868 -1.482813325
#> anansi_ID_sample_36_1 -0.94255401 -0.75101222 2.3225565 0.445750348
dictionary(web)
#> 12 x 8 sparse Matrix of class "ngCMatrix"
#> x
#> y x_1 x_2 x_3 x_4 x_5 x_6 x_7 x_8
#> y_1 | . | | | | . |
#> y_2 | . . | . | | .
#> y_3 | . . . . . | |
#> y_4 | . . . . | . .
#> y_5 | | . . | | . .
#> y_6 . | . . . . | .
#> y_7 | | . . . | | .
#> y_8 . | . . | | . .
#> y_9 | | | | | . . |
#> y_10 | | | . | . | |
#> y_11 . | . . . | | |
#> y_12 | . | . | . | .
metadata(web)
#> sample_id repeated group_ab subtype score_a
#> anansi_ID_sample_1_1 sample_1 rep_1 a x -0.71898093
#> anansi_ID_sample_2_1 sample_2 rep_1 a z -1.11656132
#> anansi_ID_sample_3_1 sample_3 rep_1 a z -0.78026990
#> anansi_ID_sample_4_1 sample_4 rep_1 a z -1.77695853
#> anansi_ID_sample_5_1 sample_5 rep_1 b y -0.42783487
#> anansi_ID_sample_6_1 sample_6 rep_1 b z -2.03102701
#> anansi_ID_sample_7_1 sample_7 rep_1 b x 2.75076475
#> anansi_ID_sample_8_1 sample_8 rep_1 a y 1.51366972
#> anansi_ID_sample_9_1 sample_9 rep_1 a z 0.03398894
#> anansi_ID_sample_10_1 sample_10 rep_1 b z 0.74079278
#> anansi_ID_sample_11_1 sample_11 rep_1 b x -1.27080818
#> anansi_ID_sample_12_1 sample_12 rep_1 b x -0.16356423
#> anansi_ID_sample_13_1 sample_13 rep_1 b z -0.61094549
#> anansi_ID_sample_14_1 sample_14 rep_1 a z 1.25188419
#> anansi_ID_sample_15_1 sample_15 rep_1 b z 0.25031947
#> anansi_ID_sample_16_1 sample_16 rep_1 a x -1.70558168
#> anansi_ID_sample_17_1 sample_17 rep_1 a y -0.85541313
#> anansi_ID_sample_18_1 sample_18 rep_1 b x -0.14490163
#> anansi_ID_sample_19_1 sample_19 rep_1 a x -0.32444696
#> anansi_ID_sample_20_1 sample_20 rep_1 b z -0.17256490
#> anansi_ID_sample_21_1 sample_21 rep_1 a y -1.23606292
#> anansi_ID_sample_22_1 sample_22 rep_1 a x -1.90230421
#> anansi_ID_sample_23_1 sample_23 rep_1 a z -0.09450402
#> anansi_ID_sample_24_1 sample_24 rep_1 b x 0.03255579
#> anansi_ID_sample_25_1 sample_25 rep_1 b x 0.46129012
#> anansi_ID_sample_26_1 sample_26 rep_1 a x 1.38140030
#> anansi_ID_sample_27_1 sample_27 rep_1 a x -0.41647627
#> anansi_ID_sample_28_1 sample_28 rep_1 b y 0.68094267
#> anansi_ID_sample_29_1 sample_29 rep_1 a z -0.41437304
#> anansi_ID_sample_30_1 sample_30 rep_1 b z -0.51834551
#> anansi_ID_sample_31_1 sample_31 rep_1 a y -0.68401973
#> anansi_ID_sample_32_1 sample_32 rep_1 a y -0.88564860
#> anansi_ID_sample_33_1 sample_33 rep_1 a z 0.04923707
#> anansi_ID_sample_34_1 sample_34 rep_1 b z 0.18556122
#> anansi_ID_sample_35_1 sample_35 rep_1 b x -0.60865779
#> anansi_ID_sample_36_1 sample_36 rep_1 b x -0.73110285
#> score_b score_c
#> anansi_ID_sample_1_1 2.71514421 0.33765806
#> anansi_ID_sample_2_1 -1.33938704 -0.60750209
#> anansi_ID_sample_3_1 -0.64601525 -0.29556027
#> anansi_ID_sample_4_1 -0.93245461 -0.13453714
#> anansi_ID_sample_5_1 -0.76908693 0.81478437
#> anansi_ID_sample_6_1 0.37157978 -0.27292173
#> anansi_ID_sample_7_1 0.35543278 2.15948580
#> anansi_ID_sample_8_1 -0.98399849 1.09173757
#> anansi_ID_sample_9_1 0.21472959 0.74338485
#> anansi_ID_sample_10_1 -0.08008508 -1.20785935
#> anansi_ID_sample_11_1 -1.42236955 0.32781805
#> anansi_ID_sample_12_1 1.10814896 -0.53416511
#> anansi_ID_sample_13_1 1.07847764 1.28394672
#> anansi_ID_sample_14_1 -0.44025034 0.02893134
#> anansi_ID_sample_15_1 -0.77816901 -0.39567707
#> anansi_ID_sample_16_1 -1.81859001 -0.69486833
#> anansi_ID_sample_17_1 -1.12408090 -1.49208070
#> anansi_ID_sample_18_1 1.06052384 1.44425724
#> anansi_ID_sample_19_1 -1.47870016 -0.34701739
#> anansi_ID_sample_20_1 -1.55156017 -0.04025917
#> anansi_ID_sample_21_1 0.77750668 1.24663211
#> anansi_ID_sample_22_1 1.06844014 -1.34630152
#> anansi_ID_sample_23_1 -0.18358770 -0.57390128
#> anansi_ID_sample_24_1 1.55824293 -0.70595925
#> anansi_ID_sample_25_1 -0.21324238 -1.85740454
#> anansi_ID_sample_26_1 0.93053526 -0.24697048
#> anansi_ID_sample_27_1 0.41081180 -0.33556093
#> anansi_ID_sample_28_1 -1.27984430 -0.24937687
#> anansi_ID_sample_29_1 -0.78236663 0.45952256
#> anansi_ID_sample_30_1 -2.27608345 -0.46007548
#> anansi_ID_sample_31_1 -0.12639591 0.05893280
#> anansi_ID_sample_32_1 1.44814671 -0.74259108
#> anansi_ID_sample_33_1 -1.44275737 -2.16357400
#> anansi_ID_sample_34_1 1.46718718 -0.23289649
#> anansi_ID_sample_35_1 -0.74329990 0.87490683
#> anansi_ID_sample_36_1 -0.30422384 -0.97349403
# Assign some random metadata
metadata(web) <- data.frame(
id = row.names(tableY(web)),
a = rnorm(36),
b = sample(c("a", "b"), 36, TRUE),
row.names = "id"
)
# Coerce to list
weblist <- as.list(web)
# Coerce to Data.frame
webdf <- as.data.frame(web)
# Coerce to MultiAssayExperiment
mae <- asMAE(web)
# Coerce to TreeSummarizedExperiment
tse <- asTSE(web)