I have a data frame, which contain thousands of firms from year 1998 to 2007(each firm not necessarily have equal length of time duration). and I want to convert it into a tensor with index: firm, year, variables.
how to achieve this ?
I don't know how to extract a small part of this data set to put here for us to discuss the problem, any one know how to do it?
structure(list(year = c(1998, 1998, 1998, 1998, 1998, 1998, 1998,
1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998,
1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998,
1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998,
1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998,
1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998,
1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998), firmid = c("QB3732337",
"113810712", "618851819", "619457768", "HU5176905", "618024813",
"617883552", "105679742", "230141773", "609442909", "HU6355534",
"617882832", "60088847X", "617881725", "618403506", "145665417",
"216582994", "14405557X", "103400293", "607369138", "617737408",
"177160683", "142418787", "245560903", "15112238X", "617880650",
"618354214", "226040099", "128955068", "61156047X", "617481385",
"226091312", "190380322", "617880255", "611567073", "GD6120293",
"617876061", "617875739", "126925703", "221461337", "614801582",
"617883931", "618129447", "101713181", "611209524", "617883974",
"706747835", "242727819", "608934944", "619723894", "139432377",
"152102399", "617866832", "614407067", "607282008", "117944574",
"617865629", "618354185", "228791275", "134789270", "113810632",
"EJ2468142", "169832427", "115319804", "602003890", "211551128",
"193929448", "105044755", "704448663", "21960081X"), provinceid = c(420000,
140000, 440000, 450000, 420000, 440000, 440000, 130000, 650000,
330000, 420000, 440000, 120000, 440000, 440000, 330000, 530000,
330000, 120000, 310000, 440000, 410000, 320000, 230000, 340000,
440000, 440000, 620000, 230000, 350000, 440000, 620000, 440000,
440000, 350000, 440000, 440000, 440000, 220000, 610000, 410000,
440000, 440000, 110000, 350000, 440000, 410000, 210000, 320000,
450000, 320000, 340000, 440000, 410000, 310000, 210000, 440000,
440000, 650000, 320000, 140000, 330000, 370000, 150000, 140000,
510000, 440000, 130000, 330000, 530000), industrycode2 = c(3400,
3500, 2900, 1900, 1500, 2200, 1400, 3600, 1500, 4000, 1500, 3000,
2400, 2100, 1800, 1300, 2900, 4000, 3600, 2300, 1900, 3700, 2200,
3400, 2600, 1800, 2400, 1300, 1800, 2400, 1900, 3100, 1400, 1700,
2400, 3400, 2600, 2600, 1400, 2600, 3100, 1800, 3100, 1400, 2600,
3300, 1300, 2200, 3000, 3100, 4100, 3000, 1500, 1400, 3500, 3500,
3700, 2600, 2300, 3200, 1700, 4000, 4200, 3600, 2500, 1300, 3500,
3600, 1700, 2600), sales = c(45860, 4050, 17034, 154721, 267,
7703, 47572, 846, 267, 5132, 1767, 8354, 5668, 75330, 8935, 1958,
154721, 13072, 10654, 40505, 20637, 1510, 12884, 10753, 45542,
5286, 27492, 267, 1557, 872, 10892, 1386, 32054, 7290, 6903,
8263, 6996, 12848, 460, 44823, 52000, 16353, 6225, 750, 10863,
35110, 10638, 154721, 18100, 16773, 2415, 8686, 14362, 19831,
46958, 1340, 79855, 61817, 1114, 154721, 7030, 9923, 599, 4060,
154721, 361, 72986, 445, 18080, 3682), cogs = c(44780, 2430,
13839, 144088, 246, 9310, 37863, 495, 52, 4170, 1582, 7416, 3964,
58090, 8639, 1667, 211569, 8066, 4960, 28399, 19831, 1280, 12564,
7540, 37058, 1855, 25519, 70, 1539, 700, 10398, 1190, 25048,
6779, 5500, 7656, 6078, 12519, 370, 39479, 26816, 16586, 6061,
534, 10064, 32783, 8519, 308403, 16000, 23833, 1282, 6918, 12097,
15663, 35182, 768, 76005, 58528, 775, 4362410, 5770, 9040, 417,
2630, 167668, 290, 64038, 306, 15898, 2511), inventory = c(2740,
280, 1950, 46914, 711, 9552, 3984, 4989, 497, 1249, 0, 4336,
1450, 3000, 284, 0, 134404, 5881, 9347, 4818, 1744, 377, 376,
12238, 11669, 835, 17355, 226, 1370, 360, 434, 1089, 12154, 4000,
2388, 7257, 1547, 808, 137, 5920, 8750, 5600, 179, 151, 1321,
3454, 5479, 135303, 7480, 5943, 565, 850, 3032, 1207, 11307,
474, 2574, 26104, 519, 604670, 400, 501, 106, 7040, 43568, 711,
6763, 558, 444, 564), fixedasset = c(8580, 460, 6750, 28874,
2878, 25901, 43081, 3065, 198, 1163, 2140, 8484, 1688, 6900,
631, 1290, 849666, 6545, 10075, 6658, 3089, 581, 114, 22299,
22499, 3967, 54033, 1106, 883, 435, 404, 1712, 29329, 7952, 3176,
10272, 533, 138, 854, 14151, 64252, 10672, 5023, 62, 213, 1068,
572, 1115119, 14090, 71451, 13017, 5390, 6657, 5840, 31943, 80,
26145, 41905, 517, 3801800, 1164, 1725, 220, 15550, 72000, 825,
4697, 1913, 735, 3415), totalasset = c(13610, 3220, 16090, 166501,
14319, 44739, 78920, 10394, 823, 4698, 3101, 25325, 4221, 14900,
3118, 1724, 1091978, 28912, 28272, 27222, 10000, 1178, 1413,
42394, 52156, 11284, 89191, 1582, 6514, 3531, 1495, 3978, 54618,
22352, 13733, 27088, 3247, 1450, 1164, 33419, 129957, 18000,
20163, 266, 3728, 15286, 17337, 1718823, 25650, 94590, 15418,
8430, 12425, 10060, 75576, 991, 46436, 75405, 1973, 5976610,
4604, 5720, 1327, 43440, 248715, 1710, 31723, 2799, 4616, 5417
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70L), class = "data.frame")
data added, now I know I can change a three modes array into a three modes tensor, so we could also consider how to change the current data frame to a three modes array with dimensions "firmid","year",and "all other co-variates except these two"
Or image a three dimensions reference system X-Y-Z, I want X to be firms, Y to be co-variates, Z to be years
any suggestions?
