vec-methods: Tensor Vec
In rTensor: Tools for Tensor Analysis and Decomposition
Description
Usage
Arguments
Details
Value
References
Examples
Description
Turns the tensor into a single vector, following the convention that earlier indices vary slower than later indices.
Usage
1
2
3
4
Arguments
tnsr
the Tensor instance
Details
vec(tnsr)
Value
vector with length prod(x@modes)
References
T. Kolda, B. Bader, "Tensor decomposition and applications". SIAM Applied Mathematics and Applications 2009.
Examples
1
2
tnsr <- rand_tensor(c(4,5,6,7))
vec(tnsr)
Example output
[1] 0.1468885601 0.8660261305 -1.4263919827 -0.0904116823 -0.1572761726
[6] -0.2509106769 0.6802973868 0.1332499910 0.2347662167 -1.7660991857
[11] 1.9607142420 0.6809311559 -2.3707738115 0.0177683547 1.0612069487
[16] -0.0331545304 -0.6420215884 0.5791038986 0.0362232086 -0.5260945436
[21] -1.1473532632 -0.1778455090 0.5238301185 -0.1167646741 -2.1117291197
[26] -0.0068054622 -1.4840675321 0.1033890665 -0.5382103540 1.0369594334
[31] -0.1277080920 -0.7952633568 0.4547398599 0.3721523877 0.4820186366
[36] -0.9285395393 -0.7841898051 -1.1149676589 -1.0039053868 -1.6802553617
[41] 1.6177753365 2.0349621049 -0.5452602302 0.0753582200 -0.1555923088
[46] -0.3184345092 0.6480620914 -0.0779874590 0.0582282840 0.9742434232
[51] -0.7370290930 -1.3248555191 1.2329874324 2.9067976481 -1.6648262778
[56] 2.6164244328 -0.7453590737 0.0008065086 0.4866533416 1.3570392318
[61] 0.4292099155 -0.7932329893 1.3692592518 0.6230405242 -0.0841039684
[66] -1.1920491312 0.1449877821 1.2095097922 1.1046956424 1.0269935809
[71] 0.0221701459 -0.9123910278 -0.7724005692 -0.5855803496 -1.2241088009
[76] 0.1830112203 1.0450627647 -0.0220984014 -0.6721592308 0.6564124480
[81] 0.2882613499 -0.9333087037 -0.2770442750 -0.1273258785 1.5357106948
[86] -2.5788504428 -0.7529638670 -0.8990557675 1.7977862427 -0.1041705585
[91] 0.0817824237 -0.7911883638 -0.4907469805 -0.0684095405 -1.1912099632
[96] 0.3737174313 0.0003861037 2.8524072962 -1.0052646124 0.3765818816
[101] -0.1442993692 0.8086288977 1.0105258025 0.1536861305 -0.2274323480
[106] -0.6886779118 1.1887276760 -0.8436041480 0.3491601840 -0.8851237545
[111] -0.6879589687 -1.5954583615 -0.2980305243 0.3240291915 -0.2902044793
[116] -0.2689305381 0.6614324068 -0.1917926257 -0.0347566728 -0.4938411061
[121] -1.7133417410 0.0176067287 0.2043009992 -1.2218771550 -0.5972283771
[126] 0.3661053944 0.1471147939 0.1586799454 -0.9838714980 -0.3152544741
[131] 0.0091939630 -0.4848536713 1.2440933468 -0.4712698692 0.1345825237
[136] -0.4270897215 -0.0860596691 1.6902651899 -1.2160981242 1.0667245937
[141] -0.1690877833 -2.4565409295 -1.2498673241 0.0636653114 0.2448779217
[146] -1.1991977824 0.0917188682 -0.8294967732 1.1015474225 -0.0928174858
[151] 1.5580082789 -0.1443589232 2.0765568824 0.4237669727 -2.2092473237
[156] -1.5243404337 -0.2149896853 -0.1803042972 -1.0621387201 -0.0831092283
[161] 0.3817950047 0.3854685655 -2.5916531869 -0.8537964647 -0.3551342172
[166] 0.0948610940 -1.4061668854 0.0573578824 0.4985983252 -0.8978401815
[171] 1.2846365326 -1.1814074936 -2.3976551110 -0.1531769062 -1.5476953758
[176] -1.1467300739 -1.3074702743 0.2290285079 -0.4987277368 1.4425120198
[181] 0.1972791745 0.4282246909 -0.4032463124 -1.3098724525 -0.3479287990
[186] 0.4395707555 0.4983983479 0.7116476414 0.1635416845 0.1740512165
[191] 0.1576074784 0.2774246199 1.3691977479 0.2066921343 -1.3606552538
[196] 1.5328217423 1.6637446592 -0.6315130384 -1.3472931188 -0.3461565735
[201] -0.0919512735 -1.1393237570 0.3426232217 -0.8284530747 -0.9938305473
[206] 2.2429554173 -1.2202894764 -0.2721438897 -0.2956509676 -0.6969173566
[211] 0.8761448573 0.5866332038 -0.0028672063 -1.3096250083 0.3422804634
[216] 0.2453624128 0.5074102299 0.1407927032 -0.7113592878 -0.6517367235
[221] 0.7622178995 -0.3220469223 -0.4915457968 0.5885100991 0.3661088349
[226] -0.3793205566 2.0563395905 -2.0121655730 -0.8125192600 1.1689597284
[231] -0.3989504276 0.4548951567 -0.2502435143 -0.3297984988 1.1574586377
[236] 0.2498541879 -0.9137293591 1.2217402680 -0.2878960200 -0.3762098341
[241] -1.2557226527 -1.7358703456 -0.2402810362 0.6112743081 -1.3667920049
[246] -0.2609852184 -0.2478691520 1.4656593063 -0.8311309044 0.5097931799
[251] -1.1143206320 -0.1950315239 2.1443416878 0.3586494760 -1.5064350514
[256] 0.6906079449 -0.8190193865 0.5080476915 0.4760459575 -0.0067709801
[261] 0.8130342298 -0.4011074364 0.6782456693 -0.9115944417 -1.8323510132
[266] -0.1029790248 0.0495615883 0.0860721790 0.4600067739 -0.5643745709
[271] -0.6315270707 0.7222298167 -0.0453020712 0.4271062920 1.2270455883
[276] -0.1327840421 0.2590606870 0.1480715445 -1.3971110814 2.0263781557
[281] -0.9033232683 2.5834972709 -0.1132163778 -0.1464038099 -0.3573989505
[286] 0.2783639534 0.5661209907 1.3539533701 -1.2132821167 0.6648583842
[291] -0.9432012558 -1.3365923924 -0.8490994292 0.5424284274 2.5223311534
[296] 1.0314170284 -1.8009178032 -1.7654877149 -0.4193016477 1.6620119214
[301] -1.2186326467 -0.5181245512 -0.3374654794 -1.3980378233 0.1405674342
[306] -0.1446222724 0.3965456388 0.0465656870 0.1619145474 0.4956767785
[311] 1.9376492890 0.4040415259 1.2799709210 -0.6393048377 -1.1036871796
[316] -0.2530950907 -0.0201452544 -2.5472942995 0.4942312780 1.1201497745
[321] -0.1668236914 0.3087094291 -0.2724508970 -0.6542339173 1.1564876156
[326] 1.0115636349 0.9532101184 0.0807803373 1.4537554964 1.1512556893
[331] 0.4384075036 0.7622684234 2.2141480648 0.9987342046 -0.5226289325
[336] 0.1548279595 -0.7669671312 -1.8510224834 0.5870357447 -0.8788760143
[341] 1.0412707119 -0.0008099660 0.6452020636 1.8148386346 -1.2489439348
[346] -0.3254274836 -1.0852542878 1.2662724494 -0.0344467892 0.6652032660
[351] 1.2548971370 0.7781917710 -0.0820234018 0.6763485095 -1.1232463052
[356] -0.6476135861 -0.9137847333 -1.4173306719 1.7147351226 -0.1580669489
[361] 0.2648762155 0.2897269357 2.1458506966 -0.7370517948 1.2877822078
[366] -0.1535328202 -0.1485900761 0.6788214236 0.0895801353 -1.5500429587
[371] 0.1298897988 0.4540993939 1.0142486136 1.8404844236 -0.0248498505
[376] 0.8895371108 -0.8839521682 0.5552150481 0.2352360826 -1.9982614015
[381] -0.8430517260 0.2295360889 -0.0505917871 -0.4137535048 -1.4194884388
[386] 1.7456664222 -1.2317288303 -1.1978193362 -0.4567343130 -1.7207867699
[391] -0.8225712809 -0.8769211940 0.2417352253 1.5731095275 0.3698865889
[396] -1.2720777884 0.9064616616 -0.6251241905 0.5831286157 -0.4914340754
[401] -0.0490543174 0.8876677073 -0.5217098891 0.4587423231 -0.4503134394
[406] 0.2815217114 0.3000474993 -0.9284396849 -0.9593492648 -1.8818336433
[411] -0.8672193105 0.1404283488 -0.3616330629 0.5380703745 1.6371938438
[416] 2.5573232145 -1.1766515327 0.3059324642 0.0922333576 -0.4611303421
[421] 1.6800109043 1.8566471309 0.4670887284 -2.2175842818 -0.5162535709
[426] 0.3916917272 -2.5727014813 0.1638935726 -2.5061181980 0.8953078868
[431] 1.2302496576 -0.1863774885 0.2263795312 1.7587870190 -0.0548065657
[436] -0.2521223179 0.0230735734 -1.0772916808 -1.1935896318 0.4728775257
[441] 0.8382986592 -1.4978591257 1.6640229199 0.1958685870 0.9044227735
[446] -0.6633844294 -1.3308283791 -0.1093894068 -0.9474047670 -0.0443442586
[451] 0.8019830877 0.8855395665 -0.2277292295 -0.3469268022 -1.6367271142
[456] 0.0777836989 -1.1163319894 0.5611540700 2.9760622789 0.8377814836
[461] 0.0402707871 -0.1890377747 0.4146887273 -1.1732712964 -0.8186684109
[466] 0.0408763880 0.5861070601 1.6959496293 -0.9145790623 -1.7891839971
[471] -1.3744274625 0.8843206182 2.0833837784 0.2433013619 0.5062215993
[476] 1.1597483304 0.8015865865 1.4583004983 -0.4800777402 1.7711411696
[481] 0.3530315103 -0.6070299983 0.8356515994 0.1763474859 0.8048696533
[486] 0.0628356775 1.2910237796 -0.4535915635 -1.5937072991 -0.5296203895
[491] 0.1170102558 -0.9057111975 0.9158789307 1.4682705151 0.2001740143
[496] 0.6139520027 0.0351307407 0.6240684949 -1.0888926800 0.4030839096
[501] 0.4926349705 -0.6292112926 -1.1423636014 1.9415841992 -0.1068168557
[506] -0.5702439354 0.8492207189 -0.5200402758 0.3804896977 0.0510770185
[511] 0.2269612581 1.1828923302 0.5504057126 1.6855093324 -1.1495741475
[516] -1.2923856121 -0.1947022254 0.0866999375 -0.5997853050 -0.0802544931
[521] 2.6316035521 -0.1275352141 -0.1228357017 -0.6357093628 -0.4067164120
[526] -1.0171070705 -0.3279952905 0.2968500279 1.1174321109 -0.4379430870
[531] -1.0882722938 1.2440738629 0.7305394955 -0.5696146129 1.8418271607
[536] 0.7218863334 0.6647136624 -0.7145646747 0.4349523819 -0.5828406734
[541] -1.6183657705 -0.6350653060 -1.7777831642 -1.7062152090 1.7148969361
[546] -1.3621063279 -0.0539147756 -0.5378792322 -0.6195877077 -1.8209519374
[551] 0.4374696949 1.4424179973 0.7229629461 0.0555112631 -1.3560916796
[556] 0.2867866227 0.5068671604 0.5350170064 0.6262508672 -0.4518130257
[561] 0.4400248762 -0.0326126975 -0.1825930472 0.2419178278 1.0138211205
[566] 1.4292710698 -0.3772488810 -0.7490058686 0.1935978218 0.2131250891
[571] 0.8897114166 -0.5099168719 1.1807049637 -1.0510793779 -0.6493159788
[576] -1.0925345439 -0.7023798085 1.5571934270 -2.1020320949 -0.4072435070
[581] -0.9850600501 0.2117458644 -0.3769666072 -1.5485693940 -0.5843901310
[586] -0.3359013693 -1.1995771748 -1.5486343204 1.1131589890 -0.9190148393
[591] 0.9196222590 0.0221665158 -0.7106853574 0.6580611435 1.3290676539
[596] -0.7230378096 1.1230558864 1.5172868736 2.0829777908 0.9394271528
[601] 0.7393884292 0.2201827191 1.4687709499 0.7707232102 0.6458471386
[606] 0.0743163359 -1.1686171971 0.0214470079 -0.6342550750 -1.1492250589
[611] 0.1990438816 1.6461743449 1.9234040351 0.7156174926 0.3607419348
[616] -0.2137654697 0.5568257983 0.0756886976 0.6926419456 -0.1094987791
[621] 0.3606751384 0.2902307086 -2.4721858687 -0.3886608537 0.1882421586
[626] 1.0612901504 -1.2275403807 0.5235325064 -1.2159424979 -0.0649134244
[631] -0.5398078455 0.8214685400 0.8035098573 -0.2681521624 0.5170424793
[636] -0.1643334210 1.7564866083 1.7238229044 0.0186181844 -1.4588176545
[641] -0.6954598461 -0.2883075805 -0.2870492030 0.3410920820 1.8678889360
[646] 0.0233052322 0.3012564129 0.2355840473 -1.2186312583 0.0801059543
[651] -1.5887813545 -0.8088343971 -0.0212082281 -1.8544130154 -0.5122479803
[656] 0.7628147354 0.2055818653 0.0875915053 1.4958997897 -0.8019209568
[661] -0.5743290236 0.9568050148 -1.4443969146 0.3213832147 -0.6430711092
[666] -0.1328212977 1.1232673151 -2.1279745983 1.0801359614 0.9469918870
[671] 0.8610554441 -1.3412786858 0.0112240647 -0.5425017122 0.0195668067
[676] 0.1417212278 1.1091027385 -0.7207140059 -1.2043707051 -1.0098216481
[681] -0.6939512960 0.5917122683 0.4729445846 -0.6425050427 1.9426974464
[686] -0.1790199599 -0.5452736259 0.1259648818 1.4560560991 0.9580334342
[691] -0.0249454854 -0.5794550479 1.5327991061 0.8267427053 1.9431077861
[696] -2.1537137746 -0.4589379656 1.6979040725 -0.1682911882 1.0618649553
[701] -1.1202519291 0.0538081202 -0.2687203253 -0.7257462229 1.5240298566
[706] 0.2972065317 0.7880350687 -0.7460358245 -0.0633915814 -1.2056771899
[711] -0.2293122150 -0.1373075486 -1.5368320230 1.0976102360 0.9700801571
[716] -0.1751556324 1.2916561950 0.0682163410 0.6754195054 1.7311401090
[721] 1.5948819517 -1.4849281135 0.7175097709 0.3785998079 -0.8726705465
[726] -0.2080200758 0.3695963838 -0.1016198225 0.2989081320 1.8698460532
[731] -1.0269030271 -1.8977973046 0.2821990121 -1.2234459814 0.7842356368
[736] 0.0479099604 0.9630134284 -1.6329166315 -0.0092615111 2.2589793808
[741] 0.9249086176 -0.2501782401 -1.0114097878 -0.3746782928 -0.8285404451
[746] 0.4411569912 -0.9359864567 -0.7321235558 -1.6229740558 -0.1071265621
[751] -1.7047310242 0.6358457924 1.3409031409 0.7607839533 -0.7257319476
[756] -1.3179318141 2.8101578084 0.3318961801 -0.3974952038 -1.1406094941
[761] 0.7224716991 1.5108013095 -0.0372064499 -1.6273541166 -0.7625927659
[766] -1.9138617585 0.7440044021 0.6489603875 -0.6400820351 -0.0897485497
[771] 0.2964981376 0.7176357968 -1.4521393673 -0.6898949532 1.2920087119
[776] 1.0799264781 0.0679166678 -0.1367989787 0.2091256222 0.8330444531
[781] 1.7653070987 -1.1488965351 -0.3093942841 1.8698038923 -1.3855745345
[786] -0.3465901131 0.4896803274 -0.3859202030 1.0012564153 -0.7634608519
[791] -1.1585726912 -1.1668125648 0.4721701269 0.6000219899 -0.5679448099
[796] 0.0320687661 -1.3160920310 1.2024770521 1.3332058772 -1.0309223405
[801] 1.2727812257 -1.1162520005 -0.8766309675 -2.3064821118 -0.0038307579
[806] 0.8281085998 1.4100708057 -0.2193119836 -0.9281963612 0.8248878629
[811] -0.7694177479 -0.6713949205 2.0737528964 0.2175282061 -0.0046062378
[816] 0.8190470156 0.2263002241 1.6180283118 0.3086891053 -0.0981562937
[821] 0.5772578007 1.5102498374 1.2655345264 0.0642789079 -2.5948364714
[826] 1.5316738262 0.1906061573 -0.3614259830 0.3848714890 0.1078352206
[831] 0.6238777131 -1.2757428490 0.7672494898 0.1693032434 0.3658770385
[836] -0.7616216298 0.3345374258 2.0020578887 -1.0688805552 -0.2520455750
rTensor documentation built on May 15, 2021, 9:06 a.m.
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Description Usage Arguments Details Value References Examples
Description
Turns the tensor into a single vector, following the convention that earlier indices vary slower than later indices.
Usage
1 2 3 4 |
Arguments
tnsr |
the Tensor instance |
Details
vec(tnsr)
Value
vector with length prod(x@modes)
References
T. Kolda, B. Bader, "Tensor decomposition and applications". SIAM Applied Mathematics and Applications 2009.
Examples
1 2 | tnsr <- rand_tensor(c(4,5,6,7))
vec(tnsr)
|
Example output
[1] 0.1468885601 0.8660261305 -1.4263919827 -0.0904116823 -0.1572761726
[6] -0.2509106769 0.6802973868 0.1332499910 0.2347662167 -1.7660991857
[11] 1.9607142420 0.6809311559 -2.3707738115 0.0177683547 1.0612069487
[16] -0.0331545304 -0.6420215884 0.5791038986 0.0362232086 -0.5260945436
[21] -1.1473532632 -0.1778455090 0.5238301185 -0.1167646741 -2.1117291197
[26] -0.0068054622 -1.4840675321 0.1033890665 -0.5382103540 1.0369594334
[31] -0.1277080920 -0.7952633568 0.4547398599 0.3721523877 0.4820186366
[36] -0.9285395393 -0.7841898051 -1.1149676589 -1.0039053868 -1.6802553617
[41] 1.6177753365 2.0349621049 -0.5452602302 0.0753582200 -0.1555923088
[46] -0.3184345092 0.6480620914 -0.0779874590 0.0582282840 0.9742434232
[51] -0.7370290930 -1.3248555191 1.2329874324 2.9067976481 -1.6648262778
[56] 2.6164244328 -0.7453590737 0.0008065086 0.4866533416 1.3570392318
[61] 0.4292099155 -0.7932329893 1.3692592518 0.6230405242 -0.0841039684
[66] -1.1920491312 0.1449877821 1.2095097922 1.1046956424 1.0269935809
[71] 0.0221701459 -0.9123910278 -0.7724005692 -0.5855803496 -1.2241088009
[76] 0.1830112203 1.0450627647 -0.0220984014 -0.6721592308 0.6564124480
[81] 0.2882613499 -0.9333087037 -0.2770442750 -0.1273258785 1.5357106948
[86] -2.5788504428 -0.7529638670 -0.8990557675 1.7977862427 -0.1041705585
[91] 0.0817824237 -0.7911883638 -0.4907469805 -0.0684095405 -1.1912099632
[96] 0.3737174313 0.0003861037 2.8524072962 -1.0052646124 0.3765818816
[101] -0.1442993692 0.8086288977 1.0105258025 0.1536861305 -0.2274323480
[106] -0.6886779118 1.1887276760 -0.8436041480 0.3491601840 -0.8851237545
[111] -0.6879589687 -1.5954583615 -0.2980305243 0.3240291915 -0.2902044793
[116] -0.2689305381 0.6614324068 -0.1917926257 -0.0347566728 -0.4938411061
[121] -1.7133417410 0.0176067287 0.2043009992 -1.2218771550 -0.5972283771
[126] 0.3661053944 0.1471147939 0.1586799454 -0.9838714980 -0.3152544741
[131] 0.0091939630 -0.4848536713 1.2440933468 -0.4712698692 0.1345825237
[136] -0.4270897215 -0.0860596691 1.6902651899 -1.2160981242 1.0667245937
[141] -0.1690877833 -2.4565409295 -1.2498673241 0.0636653114 0.2448779217
[146] -1.1991977824 0.0917188682 -0.8294967732 1.1015474225 -0.0928174858
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