R中的Eerror：没有将此S4类强制为向量的方法_R_Matrix_Memory Management_Vector

R中的Eerror：没有将此S4类强制为向量的方法

r matrix memory-management vector

R中的Eerror：没有将此S4类强制为向量的方法,r,matrix,memory-management,vector,R,Matrix,Memory Management,Vector,我在做动态时间扭曲，我有两个大数据集：“AIB_nf1”有128960个观察值，“AIB_nf3”有67956个观察值，我有“内存分配不够”的问题，所以我使用“memory.limit（size=200000）”来增加我的内存限制，我还使用“bigmemory”包来存储“大向量”。以下是我的数据： > dput(AIB_nf1[1:90,]) structure(list(V1 = 7:96, V2 = c(0.238, 0.271, 0.305, 0.339, 0.372, 0.406

我在做动态时间扭曲，我有两个大数据集：“AIB_nf1”有128960个观察值，“AIB_nf3”有67956个观察值，我有“内存分配不够”的问题，所以我使用“memory.limit（size=200000）”来增加我的内存限制，我还使用“bigmemory”包来存储“大向量”。以下是我的数据：

> dput(AIB_nf1[1:90,])
structure(list(V1 = 7:96, V2 = c(0.238, 0.271, 0.305, 0.339, 
0.372, 0.406, 0.44, 0.474, 0.508, 0.542, 0.576, 0.609, 0.643, 
0.677, 0.711, 0.745, 0.779, 0.812, 0.846, 0.88, 0.914, 0.948, 
0.982, 1.016, 1.05, 1.083, 1.118, 1.151, 1.185, 1.219, 1.253, 
1.286, 1.32, 1.354, 1.388, 1.422, 1.456, 1.49, 1.523, 1.557, 
1.591, 1.626, 1.659, 1.693, 1.726, 1.761, 1.794, 1.828, 1.862, 
1.896, 1.929, 1.963, 1.998, 2.031, 2.065, 2.099, 2.134, 2.166, 
2.2, 2.234, 2.269, 2.302, 2.336, 2.369, 2.403, 2.437, 2.472, 
2.506, 2.539, 2.573, 2.606, 2.64, 2.674, 2.709, 2.742, 2.777, 
2.81, 2.844, 2.878, 2.911, 2.946, 2.98, 3.014, 3.047, 3.081, 
3.115, 3.149, 3.183, 3.216, 3.25), V3 = c(0.035, 0.033, 0.034, 
0.034, 0.033, 0.034, 0.034, 0.034, 0.034, 0.034, 0.034, 0.033, 
0.034, 0.034, 0.034, 0.034, 0.034, 0.033, 0.034, 0.034, 0.034, 
0.034, 0.034, 0.034, 0.034, 0.033, 0.035, 0.033, 0.034, 0.034, 
0.034, 0.033, 0.034, 0.034, 0.034, 0.034, 0.034, 0.034, 0.033, 
0.034, 0.034, 0.035, 0.033, 0.034, 0.033, 0.035, 0.033, 0.034, 
0.034, 0.034, 0.033, 0.034, 0.035, 0.033, 0.034, 0.034, 0.035, 
0.032, 0.034, 0.034, 0.035, 0.033, 0.034, 0.033, 0.034, 0.034, 
0.035, 0.034, 0.033, 0.034, 0.033, 0.034, 0.034, 0.035, 0.033, 
0.035, 0.033, 0.034, 0.034, 0.033, 0.035, 0.034, 0.034, 0.033, 
0.034, 0.034, 0.034, 0.034, 0.033, 0.034), V4 = c(441.100031482115, 
441.669796396059, 441.38457234409, 441.09267697965, 440.803668983209, 
440.529231728857, 440.278958201691, 440.052100582152, 439.844882580225, 
439.647597662433, 439.451667982318, 439.246376810531, 439.031294273645, 
438.809393089071, 438.578439895116, 438.336878706118, 438.079094738171, 
437.801138836314, 437.501648899307, 437.191385319573, 436.884993592609, 
436.598187216878, 436.33876025592, 436.109775709052, 435.909677911583, 
435.736569723929, 435.592108168405, 435.476955248205, 435.395588126862, 
435.361455383054, 435.384658645204, 435.481047521428, 435.657553442936, 
435.924235449177, 436.276622652934, 436.704563920842, 437.201390282161, 
437.748420682289, 438.330760278104, 438.934488636071, 439.545855569278, 
440.152710252807, 440.732387132145, 441.276668730836, 441.793958476923, 
442.321449526307, 442.885082175977, 443.500326940982, 444.163784042471, 
444.876747755494, 445.629101153019, 446.413006556444, 447.219702893944, 
448.04320465062, 448.878239986395, 449.696324096127, 450.47071643864, 
451.192192559764, 451.884392158869, 452.567345063059, 453.255173693378, 
453.950945621684, 454.660220896133, 455.383641735162, 456.128123482219, 
456.907670434515, 457.71936637997, 458.561564110987, 459.417574075509, 
460.277883392994, 461.121178625562, 461.938395364597, 462.720841927243, 
463.46713160929, 464.182555341931, 464.861361795048, 465.501874214837, 
466.111915734947, 466.705850179264, 467.293066636918, 467.862178274689, 
468.390474699237, 468.869842312237, 469.315478639902, 469.74901025705, 
470.191756396207, 470.653952147748, 471.154758994025, 471.698672894308, 
472.293910737885), V5 = c(314.384059526516, 314.95558512382, 
314.921496201275, 314.882092487732, 314.837676590888, 314.790334336513, 
314.74286022387, 314.697502713392, 314.65549623984, 314.617675945866, 
314.58517227401, 314.558482333973, 314.537472692021, 314.52070437541, 
314.505631383973, 314.490211116595, 314.473431803066, 314.455541373727, 
314.437668589236, 314.421263791453, 314.407923664018, 314.398966275808, 
314.396001516912, 314.3993734291, 314.409000460683, 314.424662660756, 
314.446073458842, 314.472208396383, 314.501502439277, 314.531920195551, 
314.561611780958, 314.58951544553, 314.614354844383, 314.636411818191, 
314.656901885219, 314.678620920816, 314.705179137416, 314.738245314209, 
314.777591741161, 314.821970842093, 314.869779210569, 314.919300932594, 
314.967408697864, 315.010952427006, 315.047962495732, 315.078951995879, 
315.105757641079, 315.129840902302, 315.151785892227, 315.170672617989, 
315.185256397008, 315.194170347423, 315.196055633466, 315.190404600552, 
315.178723777359, 315.163890579158, 315.149545352313, 315.138261653969, 
315.131130401149, 315.127417149137, 315.125308302653, 315.124096433129, 
315.12473065196, 315.130605122803, 315.147656465417, 315.18343815854, 
315.240429559451, 315.317363629517, 315.408475194359, 315.510337393659, 
315.619120511544, 315.734967923778, 315.858240792688, 315.989492765941, 
316.128835818992, 316.272243945941, 316.416185332662, 316.559856868433, 
316.704771932581, 316.851433299391, 316.99468691065, 317.1274100422, 
317.246963764075, 317.357335720734, 317.46468123328, 317.574923437671, 
317.690844191521, 317.815705045656, 317.948840448128, 318.089511567484
), V6 = c(77.6544500702095, 79.5967211571173, 81.7960624289552, 
84.1373713488114, 86.4154187179779, 88.389872999251, 89.8544806232982, 
90.7121101760369, 90.9790614642136, 90.733492208004, 90.036020912385, 
88.9146045911228, 87.4062171867472, 85.4553040059864, 83.5311252156856, 
82.8657870114023, 82.6654967517532, 79.1149257310998, 71.9920633371955, 
63.1528016383671, 53.4027390322975, 43.0500408037574, 32.3287058869458, 
21.7032552864132, 13.0436877159348, 10.1579416553081, 15.0294328340723, 
24.4751027389957, 35.0114787218733, 45.6609430756035, 56.598944264802, 
68.1870637662322, 80.6420267215977, 94.013030263447, 108.179107765857, 
122.858492938974, 137.712039733548, 152.531514284118, 167.20468668551, 
181.491491962867, 195.111297996157, 207.897226442466, 219.758095918405, 
230.666456791146, 240.668240768018, 249.810421699481, 258.129345830109, 
265.600556082584, 272.17475257595, 277.857702464358, 282.793981908209, 
287.195889937384, 291.288235707612, 295.158722069813, 298.833288762195, 
302.308300529554, 305.47121244586, 308.291811952999, 310.952930602306, 
313.467005202536, 315.472416516834, 316.598902434977, 316.745389656015, 
315.996708714403, 314.344014546762, 311.707893131224, 308.249827382123, 
304.066850109038, 299.233863787681, 294.15508247401, 289.41422605264, 
285.436033582435, 282.436410040228, 280.552187225324, 279.597475015451, 
279.272853057788, 279.365667891074, 279.787799549876, 280.350865174633, 
280.751149880548, 280.726173447533, 280.03174151085, 278.348053191143, 
275.547010354231, 271.909606813082, 267.872049568937, 263.86533016946, 
260.083715283842, 256.347964552832, 252.276751469399), V7 = c(51.4480314095009, 
57.5816201042002, 63.6411704294435, 66.2722854148427, 63.6385194727121, 
55.1932472167247, 41.698301321069, 25.4354541092531, 8.93261215242534, 
-6.274540964104, -19.8698945441127, -32.4185613678941, -44.1128346610455, 
-50.5391460721897, -44.1463352989928, -31.916798012143, -47.0585257378509, 
-109.194854761563, -187.700602527724, -245.968763437001, -279.862969097574, 
-299.595147314433, -307.857736808814, -288.753809825673, -210.9726062505, 
-65.1550326835475, 105.831570515081, 234.629898183141, 295.067487408662, 
314.462653774103, 325.597268488998, 344.472110431487, 367.167170753237, 
390.812993511555, 414.046817816858, 429.820959629612, 432.736947772346, 
430.884279682886, 428.818443594366, 416.788105803434, 395.882456531845, 
374.435797794311, 353.364425308882, 324.551273875127, 293.514193529575, 
267.285618779515, 245.070533423311, 221.357869081285, 195.751625779721, 
169.834443929127, 147.065177149355, 130.704379409803, 121.277783326993, 
115.216812598445, 109.084392253419, 102.04338350126, 93.1514222125054, 
84.3035263789177, 77.4440856638193, 69.4079922090317, 54.2726015042625, 
31.7950327396719, 5.37919874081433, -21.8359150720515, -48.6531462458845, 
-74.6084628942048, -99.3052157147383, -121.515563578365, -137.731410747763, 
-142.218576651789, -133.335682485888, -113.593358480026, -87.0542409157218, 
-58.3873364396833, -32.4716986389187, -12.7497949111558, 0.935384462721025, 
9.74065532781512, 12.7288079897491, 8.22959665962557, -4.16598901650454, 
-24.4148098216698, -51.008299986274, -78.6372761202899, -100.583633052036, 
-112.486275167353, -114.944934255289, -113.660470935251, -115.313348108527, 
-123.225226010314), V8 = c(176.975697942618, 177.482606302604, 
177.929469720604, 178.310222605972, 178.61453336687, 178.835331762098, 
178.970316780718, 179.021424834984, 178.995360296074, 178.901209232659, 
178.747565020935, 178.542936376789, 178.297708598723, 178.023929456041, 
158.586376116383, 72.4771473428539, -69.305876495773, -155.440235518891, 
-174.95837309362, -177.007211905103, -158.263287265243, -72.3007854896034, 
68.917864425121, 146.405834345958, 135.295461736752, 84.5902300761542, 
39.6889156531479, 18.7499723135408, 12.1788596231181, 9.84169632124827, 
8.51948006309428, 7.55574681360299, 6.78473380781338, 6.13902515098798, 
5.5806484694855, 5.08376972887534, 4.6285263419629, 4.19962291193802, 
3.78969606002656, 3.40085313487997, 3.04143775021902, 2.71963085315169, 
2.43873130948763, 2.19700449292612, 1.99017489489138, 1.81394321882811, 
1.66654182984893, 1.55014560466285, 1.47050003211031, 1.43479761105802, 
1.44708400716788, 1.5039935209109, 1.59581348985406, 1.71118754373894, 
1.84187151361842, 1.98475655162367, 2.14232863240605, 2.32077818414242, 
2.52636607604457, 2.76146309217018, 3.02297458588718, 3.30591380879753, 
3.60801537992081, 3.93017147123611, 4.27274460261113, 4.63238312712042, 
5.00511718541946, 5.39181904587125, 5.79816267170558, 6.22810768706081, 
6.67784925736226, 7.13703862687252, 7.59550627402344, 8.04768077958597, 
8.49145777102297, 8.92484345584686, 9.3437760256399, 9.74121348244031, 
10.1057619067488, 10.4226016657657, 10.6784707539567, 10.8687985553899, 
11.0006871073511, 11.0869580928486, 11.1366309391458, 11.149939652299, 
11.1195446827404, 11.0369084026927, 10.899617235996, 10.7156463624773
), V9 = c(1.98619210040585, 2.7560868631792, 3.37520500958573, 
3.81497765960184, 4.08976538730253, 4.21602480698687, 4.2118181214032, 
4.09752289801817, 3.89504281373373, 3.62559168192297, 3.30711395313635, 
2.95501518872097, 2.56879140331794, 2.21294820902311, 2.06712342369418, 
2.08649643223339, 1.99190978614415, 1.98463260705346, 1.75511433181296, 
1.36824104408505, 1.3899734186647, 1.41621882783257, 1.48435850042031, 
1.64655153339521, 1.74570861379073, 1.5196896009812, 1.32976504384076, 
1.11690102008759, 1.21332498472059, 1.61473699777163, 1.36396079728927, 
1.05025689764031, 1.48782770573704, 2.1745791329998, 2.42336914635558, 
2.12403249679967, 1.61058758688998, 1.13732090952412, 0.756350815626496, 
0.465691118403319, 0.262158442042785, 0.142886822696197, 0.116665417465433, 
0.261120945116082, 0.686186437963084, 1.17631132471452, 1.1723446293262, 
0.814788235861579, 1.06237917494463, 1.83194974749923, 2.13536892594869, 
1.82583365361083, 1.35807114281152, 1.00266499930436, 0.965724683374411, 
0.904884412143251, 1.09330199793613, 1.78024498369561, 1.96548162582243, 
1.43214834988696, 1.31383517511711, 1.89856809008893, 2.34559662603644, 
2.05496693192545, 1.34182994462245, 0.77295928513312, 0.725191064964074, 
1.21631058850099, 1.90904475717069, 2.38372862446284, 2.32977424329766, 
1.8141740457693, 1.15454557896414, 0.644768322337396, 0.528137214142275, 
0.838785310438783, 1.33792102785776, 1.83052733209556, 2.25705503261945, 
2.59640059123711, 2.83671152683692, 2.97758764356467, 3.02955934825042, 
3.00914871790722, 2.93094956183559, 2.79939287795865, 2.60933603367312, 
2.35150544013667, 2.02008602795494, 1.61944134124658)), .Names = c("V1", 
"V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9"), row.names = c(NA, 
90L), class = "data.frame")

我的第二个数据集：

> dput(AIB_nf3[1:90,])
structure(list(V1 = 7:96, V2 = c(0.236, 0.27, 0.304, 0.338, 0.372, 
0.406, 0.44, 0.473, 0.507, 0.541, 0.575, 0.609, 0.643, 0.677, 
0.71, 0.744, 0.778, 0.812, 0.846, 0.88, 0.913, 0.947, 0.981, 
1.016, 1.049, 1.083, 1.117, 1.15, 1.184, 1.218, 1.252, 1.286, 
1.32, 1.353, 1.387, 1.423, 1.455, 1.489, 1.523, 1.557, 1.59, 
1.624, 1.658, 1.692, 1.726, 1.771, 1.794, 1.827, 1.861, 1.895, 
1.929, 1.963, 1.997, 2.03, 2.064, 2.098, 2.132, 2.166, 2.2, 2.234, 
2.267, 2.301, 2.335, 2.369, 2.403, 2.437, 2.471, 2.504, 2.538, 
2.572, 2.606, 2.64, 2.674, 2.707, 2.741, 2.775, 2.809, 2.843, 
2.877, 2.911, 2.944, 2.978, 3.012, 3.046, 3.08, 3.114, 3.147, 
3.181, 3.215, 3.249), V3 = c(0.033, 0.034, 0.034, 0.034, 0.034, 
0.034, 0.034, 0.033, 0.034, 0.034, 0.034, 0.034, 0.034, 0.034, 
0.033, 0.034, 0.034, 0.034, 0.034, 0.034, 0.033, 0.034, 0.034, 
0.035, 0.033, 0.034, 0.034, 0.033, 0.034, 0.034, 0.034, 0.034, 
0.034, 0.033, 0.034, 0.036, 0.032, 0.034, 0.034, 0.034, 0.033, 
0.034, 0.034, 0.034, 0.034, 0.045, 0.023, 0.033, 0.034, 0.034, 
0.034, 0.034, 0.034, 0.033, 0.034, 0.034, 0.034, 0.034, 0.034, 
0.034, 0.033, 0.034, 0.034, 0.034, 0.034, 0.034, 0.034, 0.033, 
0.034, 0.034, 0.034, 0.034, 0.034, 0.033, 0.034, 0.034, 0.034, 
0.034, 0.034, 0.034, 0.033, 0.034, 0.034, 0.034, 0.034, 0.034, 
0.033, 0.034, 0.034, 0.034), V4 = c(244.397061324053, 244.400702120946, 
243.925216555288, 243.443071251612, 242.954047234877, 242.46082119539, 
241.959057483284, 241.429501231968, 240.863045745703, 240.259352731145, 
239.63032746573, 238.99013001204, 238.352537803174, 237.735552453937, 
237.150392846983, 236.585236045168, 236.026136509019, 235.456068404747, 
234.874569393746, 234.290733373249, 233.727140918233, 233.202025357043, 
232.717232961421, 232.270428417261, 231.84982306172, 231.442512212432, 
231.038416380226, 230.641080216776, 230.263082097756, 229.918324740988, 
229.607916123677, 229.329003437537, 229.069415382373, 228.806483078609, 
228.524451292729, 228.207114513139, 227.846524592105, 227.434699094097, 
226.985084592902, 226.515081576342, 226.036035597374, 225.552349769204, 
225.064485653317, 224.576289037253, 224.097530276654, 223.635615610785, 
223.199094889133, 222.782966742833, 222.366446949163, 221.926318957725, 
221.454961351109, 220.95682356359, 220.445023295899, 219.924404781116, 
219.403389529339, 218.88530175, 218.378256524002, 217.882933067039, 
217.397386136205, 216.921817310201, 216.454611391707, 215.984877646023, 
215.50876296071, 215.018672519419, 214.51462061468, 213.991720391506, 
213.454336911796, 212.907456802085, 212.34957912176, 211.785428890574, 
211.217274920029, 210.65034832934, 210.089772589538, 209.550411984895, 
209.04869263392, 208.596846002682, 208.192579721103, 207.827692666835, 
207.481745734835, 207.129630542572, 206.756514631536, 206.359570313963, 
205.951831445474, 205.540582237763, 205.137406238673, 204.739430500441, 
204.32752828419, 203.884327082834, 203.40106047782, 202.882839792132
), V5 = c(247.253076275209, 247.666689190985, 247.606310543649, 
247.547739991371, 247.492902785217, 247.444192265313, 247.404598605725, 
247.376411620011, 247.360554808759, 247.354950990327, 247.355325830061, 
247.356755410001, 247.355374526673, 247.349593038983, 247.338336873903, 
247.319018763008, 247.290260730096, 247.250866985579, 247.201788518557, 
247.145173303549, 247.084612099233, 247.024232691108, 246.96678125726, 
246.914326873819, 246.8659987676, 246.818690657025, 246.768022195506, 
246.712434325847, 246.6529744292, 246.591936710812, 246.530521080133, 
246.469431282949, 246.408215458628, 246.343444800624, 246.27347246623, 
246.194302445092, 246.102249186779, 245.993279600228, 245.869830099101, 
245.738116061633, 245.604788905026, 245.474912959814, 245.350217384966, 
245.231111105075, 245.118352005408, 245.012596405117, 244.915173917605, 
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"V6", "V7", "V8", "V9"), row.names = c(NA, 90L), class = "data.frame")

首先，对于动态时间扭曲，我需要时间序列数据帧，我使用了“zoo数据”，v4和v5是我想要使用的两个特性，V2是“时间”：

zooData1您有样本数据以便我们可以复制吗？当然，您可以dput
这里的前几百行，或者您可以dput
Github Gist或PasteBin之类的地方，或者如果您想使用.RDS文件或其他东西，您可以将其放在Github上，并提供链接应该是dput（您的_数据[1:250，]）
然后将输出复制到您的RStudio或R终端上，并将其以代码的格式粘贴到此处。@Hack-R谢谢您的帮助，本网站对字符总数有限制，所以我只在此处发布了90行。您是否有样本数据以便我们可以复制此数据？当然，您可以dput
此处的前几百行，或者你可以dput
Github Gist或PasteBin之类的地方，或者如果你想使用.RDS文件或其他东西，你可以把它放在Github上，提供链接应该是dput（你的_数据[1:250，]），然后只需将输出复制到你的RStudio或R终端上，并以代码的格式粘贴在这里。@Hack-R谢谢你的帮助，这个网站对字符总数有限制，所以我只在这里发布了90行。
    zooData1 <- zoo(AIB_nf1$V4, AIB_nf1$V2)
    zooData2<-zoo(AIB_nf1$V5, AIB_nf1$V2)
    test<-cbind(zooData1,zooData2)

    test<-as.matrix(test)
    big1<-as.big.matrix(test)

    zooData4<-zoo(AIB_nf3$V4, AIB_nf3$V2)
    zooData5<-zoo(AIB_nf3$V5, AIB_nf3$V2)
    ref<-cbind(zooData4,zooData5)
    ref<-as.matrix(ref)
    big2<-as.big.matrix(ref)

    alignment<-dtw(big1,big2,step.pattern =rabinerJuangStepPattern(1,slope.weighting="c",smoothed=TRUE))