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Paul Bernal

2019-Apr-23 18:43 UTC

[R] Error in pglm function when performing logit regression on Panel Data

Dear friends,

The following error is generated when trying to fit a logistic regression
with the pglm function:
> PGLM_Model2 <-pglm(dataframe2$TRANSIT~dataframe2$Draft+dataframe2$TOTALCOST+dataframe2$BUNKER+dataframe2$CHARTERVALUE,
effect=c("twoways"), family=binomial('logit'),
index=dataframe2$ID,
data=dataframe2)
Error in pdata.frame(data, index) :
  'index' can be of length 3 at the most (one index variable for
individual, time, group)

This doesn?t make sense to me because the maximum length for ID is 3 and I
checked it twice.

A few things to keep in mind:
1. I am using R version 3.5.3
2. My worstation has Windows 8 and it is a 64-bit OS

I would like to know what I?m doing wrong and how to solve this issue (if
possible). I provide a dput() of my dataset below:

dput(dataframe2)
structure(list(TRANSIT = c(1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 1L, 0L, 0L,
1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 0L,
0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L,
1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L,
1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L,
1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L,
0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 0L,
1L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L,
0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L,
0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L,
0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L,
0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L,
1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L,
1L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 0L,
0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 0L,
0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L,
1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L,
1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L,
0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L,
0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L,
1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L,
0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L,
0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L,
0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L,
1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L,
1L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 0L,
0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L,
0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L,
1L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L), ID = c(1L, 1L, 2L, 2L, 3L, 4L, 5L, 5L,
6L, 7L, 7L, 7L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L,
17L, 18L, 19L, 20L, 21L, 21L, 22L, 23L, 24L, 24L, 25L, 26L, 27L,
28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L,
41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L, 48L, 49L, 50L, 51L, 52L,
53L, 54L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L,
65L, 66L, 67L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L,
77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L,
90L, 91L, 92L, 93L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L,
101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 108L, 109L, 110L,
111L, 112L, 113L, 114L, 115L, 115L, 115L, 115L, 116L, 117L, 118L,
119L, 120L, 121L, 122L, 123L, 124L, 125L, 126L, 127L, 128L, 128L,
129L, 130L, 131L, 132L, 133L, 134L, 135L, 136L, 137L, 138L, 139L,
139L, 140L, 140L, 141L, 142L, 143L, 144L, 145L, 145L, 146L, 146L,
147L, 148L, 149L, 149L, 150L, 150L, 150L, 151L, 152L, 153L, 154L,
155L, 156L, 157L, 158L, 159L, 160L, 161L, 162L, 163L, 164L, 165L,
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216L, 217L, 218L, 218L, 219L, 220L, 221L, 222L, 222L, 223L, 224L,
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245L, 246L, 247L, 247L, 248L, 248L, 249L, 249L, 250L, 251L, 252L,
253L, 254L, 255L, 256L, 257L, 258L, 259L, 260L, 261L, 262L, 263L,
264L, 265L, 266L, 267L, 268L, 269L, 270L, 271L, 272L, 273L, 273L,
274L, 275L, 276L, 277L, 278L, 279L, 280L, 281L, 282L, 283L, 284L,
285L, 286L, 287L, 288L, 288L, 289L, 290L, 291L, 292L, 293L, 294L,
295L, 296L, 297L, 298L, 299L, 300L, 301L, 301L, 302L, 303L, 304L,
305L, 306L, 307L, 308L, 308L, 309L, 309L, 309L, 310L, 311L, 312L,
313L, 313L, 314L, 315L, 316L, 317L, 318L, 319L, 320L, 321L, 322L,
323L, 324L, 325L, 326L, 327L, 327L, 328L, 329L, 330L, 331L, 332L,
333L, 334L, 335L, 336L, 337L, 338L, 339L, 340L, 341L, 342L, 343L,
344L, 345L, 346L, 347L, 348L, 349L, 350L, 351L, 352L, 353L, 354L,
354L, 354L, 354L, 355L, 356L, 357L, 358L, 359L, 360L, 361L, 362L,
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374L, 375L, 376L, 377L, 378L, 379L, 380L, 381L, 382L, 383L, 384L,
385L, 386L, 387L, 388L, 389L, 390L, 391L, 392L, 393L, 394L, 395L,
396L, 397L, 398L, 399L, 400L, 401L, 402L, 402L, 403L, 404L, 405L,
406L, 407L, 408L, 409L, 410L, 411L, 412L, 413L, 413L, 414L, 415L,
416L, 417L, 418L, 419L, 420L, 421L, 422L, 423L, 424L, 425L, 426L,
427L, 428L, 429L, 430L, 431L, 432L, 433L, 434L, 434L, 435L, 436L,
437L, 438L, 439L, 440L, 441L, 442L, 443L, 444L, 445L, 446L, 447L,
448L, 449L, 450L, 451L, 452L, 453L, 454L, 455L, 456L, 457L, 458L,
459L, 460L, 461L, 462L, 463L, 464L, 464L, 465L, 465L, 466L, 467L,
467L, 468L, 468L, 469L, 470L, 471L, 472L, 473L), DATE = structure(c(210L,
30L, 172L, 75L, 100L, 98L, 255L, 214L, 282L, 175L, 312L, 219L,
340L, 327L, 305L, 265L, 360L, 181L, 75L, 80L, 86L, 311L, 284L,
362L, 287L, 240L, 24L, 141L, 351L, 168L, 231L, 350L, 108L, 253L,
368L, 320L, 352L, 375L, 272L, 318L, 61L, 111L, 136L, 87L, 101L,
313L, 186L, 375L, 128L, 250L, 132L, 91L, 243L, 121L, 304L, 199L,
15L, 200L, 284L, 85L, 353L, 79L, 371L, 110L, 2L, 78L, 52L, 287L,
319L, 244L, 247L, 262L, 83L, 62L, 336L, 207L, 331L, 42L, 304L,
104L, 206L, 333L, 360L, 260L, 37L, 233L, 55L, 116L, 296L, 124L,
7L, 285L, 254L, 112L, 281L, 19L, 315L, 60L, 209L, 370L, 225L,
252L, 328L, 325L, 201L, 140L, 223L, 67L, 70L, 137L, 120L, 267L,
146L, 238L, 31L, 77L, 134L, 314L, 42L, 16L, 299L, 195L, 216L,
338L, 220L, 104L, 278L, 21L, 129L, 234L, 29L, 242L, 153L, 293L,
164L, 149L, 98L, 311L, 119L, 32L, 64L, 160L, 172L, 167L, 334L,
298L, 122L, 169L, 374L, 344L, 26L, 79L, 298L, 337L, 129L, 178L,
180L, 306L, 109L, 23L, 248L, 329L, 224L, 266L, 237L, 264L, 46L,
108L, 267L, 123L, 321L, 22L, 246L, 124L, 290L, 358L, 302L, 179L,
250L, 305L, 156L, 276L, 213L, 332L, 103L, 363L, 312L, 346L, 82L,
236L, 71L, 174L, 43L, 219L, 14L, 349L, 235L, 297L, 103L, 72L,
283L, 293L, 310L, 270L, 133L, 215L, 274L, 223L, 353L, 303L, 68L,
284L, 279L, 294L, 267L, 123L, 349L, 198L, 133L, 339L, 169L, 309L,
77L, 138L, 298L, 345L, 73L, 5L, 200L, 58L, 12L, 293L, 348L, 224L,
370L, 182L, 2L, 258L, 193L, 307L, 316L, 152L, 345L, 18L, 275L,
83L, 59L, 295L, 155L, 144L, 359L, 135L, 202L, 172L, 274L, 271L,
88L, 38L, 91L, 303L, 210L, 114L, 265L, 349L, 251L, 315L, 217L,
25L, 207L, 56L, 127L, 306L, 214L, 40L, 28L, 316L, 323L, 148L,
184L, 9L, 245L, 314L, 162L, 84L, 239L, 321L, 218L, 187L, 194L,
146L, 280L, 377L, 81L, 357L, 377L, 117L, 139L, 265L, 274L, 330L,
204L, 196L, 128L, 343L, 128L, 337L, 335L, 257L, 203L, 317L, 356L,
89L, 256L, 370L, 65L, 200L, 260L, 322L, 289L, 94L, 301L, 309L,
150L, 202L, 161L, 365L, 63L, 111L, 309L, 76L, 274L, 158L, 273L,
377L, 85L, 64L, 285L, 47L, 279L, 16L, 27L, 131L, 132L, 106L,
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264L, 177L, 223L, 249L, 154L, 250L, 309L, 324L, 165L, 115L, 166L,
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163L, 355L, 35L, 151L, 226L, 185L, 189L, 180L, 102L, 118L, 127L,
366L, 136L, 33L, 77L, 113L, 221L, 323L, 96L, 5L, 140L, 105L,
10L, 2L, 192L, 85L, 288L, 54L, 303L, 48L, 364L, 69L, 269L, 286L,
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112L, 126L, 280L, 92L, 97L, 20L, 367L, 211L, 187L, 212L, 3L,
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256L, 171L, 376L, 34L, 222L, 8L, 17L, 31L, 94L, 46L, 197L, 6L,
103L, 259L, 125L), .Label = c("April 10, 2018", "April 11,
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    139L), .Label = c("Aby Jeannette", "Adelante", "ADM
Georgina",
    "ADS Galtesund", "Aeneas", "Aeolian Fortune",
"Aeolian Light",
    "AFRICA GRAECA", "AFRICAN ARROW", "AFRICAN BARI
BIRD", "AFRICAN BLUE
CRANE",
    "AFRICAN FINFOOT", "AFRICAN JACANA", "AFRICAN
KITE", "AFRICAN LEOPARD",
    "AFRICAN PUFFIN", "AFRICAN RAPTOR",
"AFTERHOURS", "AGIA SKEPI",
    "Agri Kinsale", "Aiantas", "AKILI", "ALAM
MANIS", "ALBION",
    "Alexandra", "ALICIA", "Alma", "Alpha
Vision", "AM BREMEN",
    "AMAMI K", "AMIS ACE", "AMIS FORTUNE",
"AMIS JUSTICE", "AMSTEL FALCON",
    "Andros", "ANDROS ISLAND", "Androusa",
"ANIMA", "Anna S",
    "Anna Smile", "ANTIGONI", "Antiparos",
"Aom Gaia", "AOM GAIA",
    "Aom Milena", "APEX", "AREQUIPA QUEEN",
"Ariana", "Artemis",
    "ASHIYA STAR", "ASTRA CENTAURUS", "ASTREA",
"Athina Carras",
    "ATLANTIC EAGLE", "ATLANTIC GRACE", "ATLANTIC
HERO", "ATLANTIC
MANZANILLO",
    "Attalia", "Axios", "Bahia Blanca",
"Bali", "BALTIC K", "BALTIC WASP",
    "BBG Ambition", "BBG Dream", "BBG Endeavor",
"Belo Horizonte",
    "BELO HORIZONTE", "BLUE AKIHABARA", "BLUE
DIAMOND", "BLUE MARLIN I",
    "Bora", "Brasil SW", "Braveheart",
"BRIDGEGATE", "BRIGITTE",
    "BTG Denali", "BTG Eiger", "BTG Everest",
"BTG Kailach",
    "BULK ARGENTINA", "BULK COLOMBIA", "BULK
HERO", "BULK HONDURAS",
    "Bulk Pegasus", "Bulk Portugal", "BW Hazel",
"Captain Adams",
    "Captain Antonis", "Cemtex Wisdom", "CENTENARIO
BLU", "Cepheus Ocean",
    "Cerafina", "Cetus Ocean", "CF Diamond",
"CHARADE", "CHLOE",
    "CLARKE QUAY", "CLIPPER AMSTERDAM", "Clipper
Victory", "CMB Sakura",
    "Cofco 1", "COLUMBIA RIVER", "Coral Diamond",
"COREFORTUNE OL",
    "Cosmar", "Coventry", "CP GUANGZHOU",
"Crimson Ark", "Crimson Kingdom",
    "Cymona Star", "DALIAN STAR", "De Xu Hai",
"Densa Pelican",
    "DESERT CHALLENGER", "DEVON BAY", "DIAMOND
QUEEN", "Dias",
    "Dimitris Apesakis", "Donousa", "DORIC",
"DORIC SHOGUN",
    "DORO", "EASTER N", "Efrain A", "Egret
Oasis", "Eirini P",
    "Elena", "Emerald Dongji", "Emerald Star",
"ENDLESS HORIZON",
    "ENY", "Erikoussa", "ESSEX STRAIT",
"Eternal Bliss", "Eternal Grace",
    "EUROPA BAY", "Ever Grace", "EVER SOVEREIGN",
"Everglory",
    "Evmar", "FEDERAL TRIDENT", "FH Fang Cheng",
"FH Rizhao",
    "Fiji", "FILIA JOY", "Flag Lama",
"FLIPPER", "FLORINDA",
    "Fortune Harmony", "FORTUNE LADY", "FORTUNE
UNITY", "FRAMURA",
    "FURNESS VICTORIA", "Galio", "GANNET BULKER",
"GENCO RAPTOR",
    "GH CITATION", "GH URBAN SEA", "Giorgakis",
"Giorgis", "GLOBAL PRIME",
    "GLOBAL SUCCESS", "GLOBAL VISION", "Glory",
"Golden Jake",
    "GOLDEN LIBRA", "Good Wish", "Graecia
Aeterna", "GRAND CONCORD",
    "GRAND MARCIA", "Great Rich", "GUARDIANSHIP",
"Hampton Bay",
    "Hampton Bridge", "HANTON TRADER I", "Hercules
Ocean", "Hermes",
    "Hong Hing", "Hong Jing", "Hong Sheng",
"HOPA I", "Huayang Spirit",
    "Huayeng Dream", "Indian Harmony", "INDIGO
EVOLUTION", "INDIGO RIVER",
    "INDRA OLDENDORFF", "Innovation",
"INNOVATION", "Inspiration",
    "IRIS HALO", "IRIS OLDENDORFF", "ISMENE",
"Istria", "IYO WIND",
    "Jag Aalok", "Jag Akshay", "Jag Arnav",
"JIA SHENG SHAN",
    "JIN RUN", "Jin Zhu Hai", "John M. Carras",
"JOSCO HANGZHOU",
    "JPS AFRODITI", "K SPINEL", "K. GARNET",
"K. OPAL", "KANG CHENG",
    "Karlovasi", "Katerina III", "KAVO PALOMA",
"Kea", "Kerkyra",
    "Key Evolution", "Key Pacifico", "KING
ISLAND", "KING MILO",
    "KM Fukuyama", "KM Hong Kong", "KM Keelung",
"KM Yokohama",
    "KMARIN SINGAPORE", "KT Birdie", "KYRA
PANAGHIA", "Lady I",
    "LEO ADVANCE", "LESEDI QUEEN", "LILA",
"LISSA TOPIC", "LOCH SHUNA",
    "Long Dar", "LOUISIANA MAMA", "LOWLANDS
MAINE", "LUMINOUS HALO",
    "LUNITA", "LYRIC HARMONY", "Macheras",
"MALMO", "MANDARIN CROWN",
    "MANDARIN NOBLE", "Marathassa", "MARIE GRACE",
"MARINER",
    "MARITIME PROSPERITY", "MARY LINA", "Mastro
Nikos", "MBA Future",
    "Medi Matsuura", "MEDI SALERNO", "MELBOURNE",
"MELIA", "METSOVO",
    "MG Explorer", "MG Kronos", "MG Sakura",
"Miao Xiang", "MISATO K",
    "Mistral I", "Miyama", "Mykonos",
"Myra", "Myrto", "N Bonanza",
    "Nadeshiko", "Naias", "NAUTICAL MARIE",
"NAUTICAL RUNA",
    "NAUTICAL SIF", "Navios Amber", "NAVIOS ARC",
"NAVIOS ARMONIA",
    "Navios Harmony", "Navios Orbiter", "NAVIOS
SOUTHERN STAR",
    "NEFELI", "NEW BLISS", "NEW DIRECTION",
"NEWSEAS PEARL",
    "NIKKEI SIRIUS", "NIKKEI VERDE", "Nikolaos",
"NIKOLAS XL",
    "Nikomarin", "Nord Capella", "Nord Fortune",
"NOSHIMA", "Nuri Bey",
    "OCCITAN PAUILLAC", "OCEAN BAO", "OCEAN BELT",
"OCEAN FAVOUR",
    "Ocean Garlic", "OCEAN HARVEST", "OCEAN
PRIDE", "OCEAN PRINCE",
    "OCEAN PRINCESS", "OCEAN ROYAL", "OCEAN
SPLENDOR", "OCEAN TIANBAO",
    "OCEAN VENUS", "Ocean Wind", "Oceana",
"Odysseas L", "OKINAWA",
    "Olivia R", "OLYMPOS", "Omicron Light",
"OMICRON NIKOS",
    "OMICRON SKY", "Omicron Trader", "ORCHID
HALO", "Orient Genesis",
    "ORIENT GRACE", "OZGUR AKSOY", "PACIFIC
ADVANCE", "PACIFIC NEXUS",
    "PACIFIC TALENT", "PACIFIC VICTORY", "Palais",
"Pan Ceres",
    "PAN VIVA", "Panafrican", "Panamanian",
"Panasiatic", "PANORIA",
    "Panther Max", "PARADISE ISLAND", "PAUL
OLDENDORFF", "Peace Ark",
    "PEAK PEGASUS", "Pedhoulas Farmer", "Pedhoulas
Trader", "PENTA",
    "PERIDOT", "PERTH I", "Phaedra", "PHOENIX
K", "Phoenix Ocean",
    "Pictor", "PILATUS VENTURE", "Popi S",
"PORT ESTRELA", "Proteas",
    "QUEEN JHANSI", "QUEEN KOBE", "Rave", "RB
Eden", "Real Happiness",
    "RECCO", "REGAL", "RESURGENCE", "RIGI
VENTURE", "Rosalia D? Amato",
    "Rosco Banyan", "Rosco Cypress", "Rosco
Ginkgo", "Rosco Lemon",
    "Rosco Litchi", "Rosco Palm", "ROSCO PLUM",
"Rosco Poplar",
    "Rosco Sandalwood", "RR Australia", "SAGAR
JYOTI", "SAGAR SHAKTI",
    "SAGARJEET", "SAGE COLORADO", "SAGE PIONEER",
"SAILING SKY",
    "Sakizaya Power", "SAN ANTONIO", "SANTA
KATARINA", "SANTA VALENTINA",
    "SANYU", "SBI Bolero", "SBI BOLERO", "SBI
Samba", "Scarlet Cardinal",
    "SCARLET CARDINAL", "Scarlet Falcon", "Sea
Duty", "Sea Hermes",
    "Sea Pegasus", "SEA PIONEER", "Sea Pluto",
"Seatribute",
    "Shandong Fu Hui", "Shandong Hai Chang", "Shangdong
Fu Ze",
    "Shao Shan 5", "Shao Shan 8", "SIFNOS",
"Silver Dragon",
    "SIMURGH", "Skiathos", "SKY KNIGHT",
"SONGA GLORY", "SOUTHEND",
    "SPARNA", "SPRING AEOLIAN", "SPRING EAGLE",
"SPRING ZEPHYR",
    "SSI CHALLENGER", "Stalo", "STAMFORD EAGLE",
"STAR AQUARIUS",
    "STAR JENNIFER", "Star Laura", "Star of
Sawara", "STAR PISCES",
    "Star Renee", "STAR VANESSA", "STARRY SKY",
"STH LONDON",
    "STOVE FRIEND", "STOVE OCEAN", "SUNLEAF
GRACE", "SUNLEAF STAR",
    "SUNNY HOPE", "SUNNY ROYAL", "SUZAKU",
"Syros I", "Tahiti One",
    "Tai Promotion", "TAI PROSPERITY", "TAI
SPRING", "TAI STAR",
    "TAI SUMMIT", "Tangerine Island", "TANGERINE
ISLAND", "TANIKAZE",
    "TASSOS N", "Taurus Ocean", "TEAL BULKER",
"TENRO MARU",
    "Tenten", "THEMISTOCLES", "Theodor
Oldendorff", "THEODOR OLDENDORFF",
    "Theodore Jr.", "Theresa Hebei", "Theresa
Jilin", "Theresa Shandong",
    "TIGER HENAN", "TIGER NORTH", "TIGER PIONEER",
"Tiger South",
    "TN SUNRISE", "TOMORROW", "Topaz",
"TORENIA", "TR Lady",
    "Trade Unity", "TRANS OCEANIC", "TRUSTN TRADER
II", "TSCHAIKOWSKY",
    "TTM DRAGON", "Tuo Fu 6", "Tycoon",
"ULTRA PANTHER", "Unity",
    "UNITY DISCOVERY", "Valadon", "VEGA ROSE",
"VELA OCEAN",
    "VENUS", "VENUS HALO", "VICTORIA",
"VISHVA ANAND", "Vitahorizon",
    "Vitakosmos", "Vivian", "VSC CASTOR",
"VSC TRITON", "XING XI HAI",
    "Yarrawonga", "Yue Guan Feng", "ZEN-NOH GRAIN
MAGNOLIA",
    "ZEN-NOH GRAIN PEGASUS", "Zheng Zhi", "Zhi
He"), class = "factor"),
    Draft = c(12L, 12L, 12L, 13L, 12L, 12L, 12L, 12L, 12L, 12L,
    12L, 12L, 12L, 12L, 14L, 14L, 14L, 12L, 13L, 12L, 12L, 14L,
    12L, 14L, 13L, 12L, 12L, 12L, 14L, 12L, 12L, 11L, 13L, 13L,
    14L, 12L, 12L, 13L, 14L, 12L, 13L, 13L, 12L, 14L, 14L, 13L,
    12L, 14L, 14L, 13L, 14L, 14L, 12L, 13L, 12L, 12L, 13L, 12L,
    12L, 14L, 14L, 14L, 12L, 12L, 12L, 12L, 14L, 13L, 14L, 12L,
    13L, 14L, 13L, 12L, 12L, 12L, 12L, 12L, 12L, 14L, 12L, 14L,
    13L, 14L, 14L, 12L, 12L, 12L, 14L, 12L, 12L, 13L, 14L, 13L,
    13L, 12L, 14L, 13L, 13L, 14L, 12L, 12L, 14L, 12L, 12L, 14L,
    12L, 13L, 13L, 14L, 14L, 14L, 14L, 12L, 12L, 14L, 13L, 12L,
    12L, 12L, 13L, 12L, 14L, 12L, 12L, 14L, 14L, 12L, 12L, 12L,
    12L, 12L, 12L, 13L, 12L, 12L, 12L, 13L, 12L, 12L, 12L, 12L,
    12L, 12L, 12L, 14L, 12L, 12L, 12L, 12L, 14L, 14L, 14L, 14L,
    10L, 12L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L,
    12L, 13L, 14L, 14L, 14L, 12L, 12L, 12L, 14L, 12L, 12L, 12L,
    14L, 14L, 14L, 14L, 12L, 12L, 11L, 12L, 12L, 12L, 12L, 12L,
    12L, 12L, 12L, 12L, 12L, 10L, 12L, 12L, 12L, 11L, 13L, 14L,
    14L, 12L, 13L, 14L, 14L, 12L, 13L, 14L, 12L, 12L, 12L, 14L,
    13L, 14L, 12L, 12L, 14L, 14L, 12L, 14L, 13L, 12L, 14L, 12L,
    14L, 12L, 12L, 12L, 12L, 14L, 13L, 12L, 13L, 12L, 12L, 14L,
    12L, 14L, 14L, 14L, 12L, 12L, 12L, 13L, 12L, 14L, 14L, 14L,
    12L, 12L, 12L, 12L, 13L, 12L, 12L, 12L, 14L, 14L, 12L, 12L,
    14L, 12L, 14L, 14L, 12L, 12L, 12L, 13L, 12L, 12L, 12L, 12L,
    12L, 14L, 14L, 13L, 12L, 13L, 14L, 12L, 12L, 12L, 12L, 13L,
    14L, 12L, 14L, 13L, 14L, 14L, 14L, 14L, 14L, 13L, 14L, 14L,
    13L, 14L, 12L, 12L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L,
    14L, 14L, 14L, 14L, 13L, 12L, 14L, 14L, 14L, 12L, 14L, 14L,
    14L, 12L, 12L, 14L, 14L, 14L, 14L, 12L, 14L, 14L, 12L, 14L,
    14L, 12L, 13L, 12L, 12L, 12L, 14L, 14L, 13L, 14L, 12L, 13L,
    13L, 13L, 12L, 12L, 12L, 12L, 12L, 14L, 12L, 14L, 13L, 14L,
    12L, 12L, 14L, 13L, 14L, 14L, 14L, 12L, 14L, 14L, 12L, 12L,
    14L, 12L, 14L, 12L, 12L, 12L, 14L, 12L, 13L, 14L, 12L, 12L,
    14L, 12L, 12L, 12L, 12L, 12L, 14L, 12L, 12L, 12L, 14L, 14L,
    12L, 12L, 14L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 14L, 12L,
    13L, 13L, 13L, 14L, 14L, 12L, 12L, 12L, 12L, 12L, 13L, 12L,
    14L, 13L, 12L, 12L, 12L, 12L, 12L, 13L, 12L, 14L, 13L, 13L,
    13L, 11L, 12L, 14L, 14L, 12L, 14L, 12L, 11L, 12L, 12L, 12L,
    12L, 14L, 12L, 12L, 12L, 12L, 14L, 14L, 12L, 12L, 12L, 14L,
    12L, 12L, 12L, 12L, 14L, 12L, 13L, 14L, 12L, 12L, 14L, 14L,
    12L, 12L, 12L, 13L, 12L, 14L, 14L, 14L, 12L, 14L, 13L, 12L,
    12L, 12L, 12L, 12L, 12L, 12L, 13L, 6L, 12L, 12L, 14L, 14L,
    14L, 14L, 12L, 14L, 12L, 12L, 12L, 12L, 14L, 12L, 14L, 12L,
    12L, 12L, 14L, 12L, 12L, 13L, 14L, 12L, 13L, 12L, 14L, 12L,
    12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L,
    12L), TOTALCOST = c(194364L, 219364L, 198260L, 237456L, 197159L,
    198992L, 194337L, 219337L, 199198L, 196604L, 230607L, 196604L,
    196604L, 194496L, 238600L, 236936L, 237476L, 197220L, 236950L,
    197300L, 182042L, 237938L, 199221L, 237475L, 239190L, 157406L,
    157211L, 182211L, 237475L, 182475L, 181599L, 156599L, 238269L,
    238402L, 238069L, 161436L, 225031L, 238180L, 237572L, 189861L,
    239005L, 239049L, 163814L, 240064L, 239171L, 238410L, 200878L,
    239019L, 239087L, 239350L, 239352L, 240275L, 164844L, 238400L,
    225158L, 202495L, 239681L, 201791L, 226863L, 244092L, 244590L,
    239171L, 189811L, 219412L, 228480L, 203650L, 237514L, 247451L,
    244739L, 211770L, 244308L, 239197L, 238419L, 224977L, 157362L,
    162434L, 162434L, 162434L, 162434L, 239681L, 163316L, 237265L,
    243920L, 244088L, 244163L, 202256L, 159592L, 201346L, 239187L,
    189800L, 191959L, 239476L, 239171L, 238087L, 238052L, 164169L,
    245057L, 244215L, 240812L, 239156L, 156879L, 197853L, 245367L,
    164710L, 164710L, 244192L, 211110L, 239156L, 244213L, 237504L,
    239018L, 241150L, 244447L, 238506L, 210298L, 243482L, 239166L,
    159489L, 184600L, 226439L, 239127L, 235243L, 244296L, 159696L,
    189046L, 244355L, 244446L, 187595L, 162595L, 162595L, 162595L,
    170604L, 188774L, 244103L, 188680L, 163611L, 200551L, 244055L,
    170606L, 169154L, 194154L, 170905L, 200551L, 191412L, 166412L,
    243969L, 170483L, 210719L, 168554L, 164016L, 245158L, 245131L,
    245186L, 239166L, 116360L, 155698L, 155698L, 155698L, 155698L,
    223827L, 191968L, 159650L, 189999L, 201193L, 201011L, 226218L,
    201218L, 243970L, 244291L, 243993L, 243993L, 236035L, 236035L,
    236035L, 244070L, 159692L, 194183L, 169110L, 241994L, 238216L,
    238301L, 242948L, 169810L, 189280L, 164662L, 164156L, 189156L,
    163989L, 163924L, 159577L, 159650L, 170566L, 170598L, 188975L,
    189006L, 99983L, 191595L, 166907L, 228744L, 166621L, 243593L,
    244001L, 239035L, 172934L, 238288L, 241665L, 241665L, 193991L,
    238361L, 238361L, 164215L, 168867L, 194304L, 241732L, 237745L,
    237911L, 195374L, 195374L, 244044L, 244044L, 169118L, 244040L,
    244040L, 198518L, 244106L, 236206L, 244136L, 191390L, 164516L,
    165137L, 232682L, 244021L, 244101L, 236136L, 244101L, 194181L,
    169181L, 244058L, 212313L, 238240L, 242502L, 239175L, 166221L,
    184500L, 170027L, 237701L, 211035L, 244050L, 243745L, 242782L,
    164482L, 166341L, 189482L, 174552L, 244213L, 190960L, 184494L,
    169116L, 239123L, 239121L, 165097L, 206396L, 241738L, 165622L,
    242651L, 250331L, 178778L, 169133L, 238280L, 244044L, 193182L,
    194156L, 194156L, 169156L, 196240L, 244060L, 244060L, 244060L,
    196050L, 243546L, 243546L, 195500L, 195500L, 170389L, 195389L,
    243549L, 243503L, 211398L, 243510L, 238436L, 238546L, 243907L,
    243654L, 238709L, 238656L, 244171L, 244136L, 243215L, 243957L,
    243957L, 164455L, 164455L, 243287L, 238203L, 243738L, 243266L,
    243294L, 243548L, 243262L, 243262L, 237628L, 243266L, 243382L,
    243927L, 243574L, 168364L, 243598L, 243596L, 243647L, 191094L,
    243655L, 244550L, 243907L, 200636L, 210208L, 243632L, 243632L,
    243367L, 243048L, 212125L, 244651L, 243357L, 202542L, 243778L,
    243502L, 170036L, 237911L, 195234L, 195220L, 170220L, 239391L,
    244397L, 244397L, 238631L, 225921L, 244034L, 244051L, 243310L,
    189976L, 164976L, 164976L, 164999L, 165154L, 243439L, 211003L,
    244034L, 243859L, 243859L, 170008L, 175602L, 238078L, 243484L,
    243619L, 243333L, 243289L, 200618L, 243392L, 243376L, 164873L,
    235797L, 243930L, 191502L, 243906L, 195351L, 170527L, 195307L,
    243551L, 175551L, 244759L, 238122L, 178863L, 170249L, 243701L,
    200549L, 236254L, 189982L, 163055L, 203863L, 243561L, 165089L,
    164574L, 193750L, 238061L, 240569L, 175435L, 164313L, 243153L,
    189825L, 189825L, 164825L, 189825L, 164340L, 203691L, 168483L,
    243970L, 193608L, 243054L, 243115L, 243115L, 243043L, 243115L,
    201917L, 204065L, 177917L, 178745L, 178735L, 243911L, 200920L,
    242726L, 243042L, 204204L, 181109L, 179157L, 200093L, 179164L,
    243676L, 235476L, 243862L, 243873L, 243945L, 243927L, 168102L,
    168102L, 243734L, 243929L, 179053L, 246381L, 204130L, 200546L,
    200301L, 174699L, 199699L, 178309L, 243549L, 204424L, 216428L,
    203785L, 204101L, 245074L, 243224L, 163661L, 179036L, 199248L,
    243458L, 199190L, 200330L, 200406L, 174754L, 243138L, 195257L,
    244796L, 243069L, 179132L, 204171L, 243718L, 243719L, 200616L,
    175749L, 179010L, 243037L, 178405L, 243953L, 243923L, 243485L,
    200891L, 239635L, 243661L, 204041L, 179002L, 204070L, 206036L,
    198896L, 164487L, 166891L, 246375L, 200217L, 179153L, 210112L,
    243941L, 243052L, 243724L, 246328L, 164311L, 243736L, 154373L,
    192956L, 237690L, 193282L, 244901L, 198985L, 246315L, 179272L,
    204007L, 202386L, 246315L, 202386L, 178856L, 243704L, 243750L,
    164533L, 246330L, 204082L, 243790L, 189359L, 164359L, 168286L,
    168286L, 175262L, 164395L, 189395L, 164299L, 189299L, 189110L,
    154953L, 166251L, 175373L, 235883L), BUNKER = c(350L, 405L,
    276L, 350L, 373L, 355L, 370L, 343L, 345L, 288L, 313L, 358L,
    440L, 292L, 318L, 360L, 318L, 288L, 350L, 349L, 350L, 318L,
    345L, 313L, 313L, 378L, 298L, 363L, 315L, 435L, 423L, 440L,
    343L, 355L, 313L, 318L, 435L, 313L, 345L, 318L, 349L, 353L,
    368L, 362L, 348L, 345L, 296L, 313L, 365L, 355L, 368L, 362L,
    378L, 348L, 313L, 418L, 348L, 418L, 345L, 362L, 318L, 350L,
    300L, 343L, 348L, 349L, 298L, 313L, 303L, 388L, 370L, 360L,
    362L, 338L, 313L, 350L, 313L, 423L, 313L, 343L, 353L, 313L,
    318L, 360L, 292L, 423L, 298L, 343L, 313L, 367L, 368L, 303L,
    355L, 353L, 370L, 296L, 303L, 355L, 343L, 313L, 353L, 370L,
    313L, 303L, 418L, 373L, 353L, 349L, 349L, 363L, 367L, 355L,
    365L, 443L, 440L, 350L, 363L, 318L, 423L, 364L, 313L, 422L,
    358L, 430L, 358L, 343L, 370L, 298L, 362L, 378L, 419L, 445L,
    362L, 313L, 432L, 373L, 355L, 318L, 353L, 283L, 338L, 255L,
    276L, 276L, 430L, 313L, 367L, 276L, 300L, 313L, 283L, 350L,
    313L, 313L, 362L, 288L, 425L, 313L, 348L, 426L, 345L, 313L,
    353L, 355L, 443L, 355L, 423L, 343L, 355L, 348L, 303L, 298L,
    318L, 367L, 313L, 435L, 313L, 425L, 355L, 318L, 368L, 370L,
    343L, 430L, 348L, 300L, 313L, 423L, 350L, 443L, 338L, 276L,
    292L, 358L, 378L, 313L, 443L, 313L, 348L, 338L, 370L, 313L,
    318L, 360L, 363L, 358L, 345L, 353L, 318L, 313L, 338L, 345L,
    345L, 313L, 355L, 348L, 313L, 422L, 363L, 313L, 276L, 318L,
    350L, 363L, 313L, 292L, 350L, 368L, 418L, 298L, 375L, 313L,
    315L, 353L, 313L, 288L, 348L, 360L, 413L, 318L, 345L, 365L,
    292L, 348L, 318L, 362L, 426L, 313L, 365L, 367L, 315L, 368L,
    425L, 276L, 345L, 360L, 350L, 405L, 362L, 313L, 350L, 343L,
    360L, 313L, 355L, 303L, 358L, 419L, 350L, 298L, 367L, 313L,
    343L, 405L, 419L, 345L, 303L, 367L, 265L, 378L, 345L, 318L,
    432L, 350L, 445L, 303L, 364L, 296L, 418L, 365L, 370L, 313L,
    362L, 318L, 313L, 353L, 373L, 360L, 345L, 313L, 353L, 422L,
    365L, 315L, 365L, 313L, 313L, 360L, 413L, 345L, 318L, 338L,
    355L, 313L, 349L, 418L, 360L, 303L, 313L, 355L, 313L, 318L,
    367L, 425L, 270L, 318L, 349L, 353L, 318L, 349L, 345L, 368L,
    318L, 313L, 362L, 338L, 303L, 296L, 345L, 364L, 283L, 368L,
    368L, 343L, 423L, 367L, 368L, 313L, 298L, 355L, 405L, 292L,
    368L, 355L, 440L, 313L, 313L, 313L, 438L, 358L, 313L, 292L,
    338L, 313L, 313L, 373L, 360L, 345L, 423L, 348L, 370L, 292L,
    303L, 345L, 265L, 364L, 315L, 338L, 350L, 368L, 313L, 318L,
    370L, 303L, 423L, 388L, 343L, 362L, 355L, 426L, 350L, 365L,
    345L, 355L, 343L, 443L, 313L, 270L, 360L, 350L, 435L, 445L,
    313L, 348L, 355L, 430L, 362L, 349L, 349L, 298L, 313L, 292L,
    375L, 367L, 318L, 315L, 368L, 296L, 300L, 318L, 296L, 425L,
    355L, 288L, 353L, 370L, 362L, 355L, 318L, 313L, 435L, 343L,
    435L, 292L, 355L, 440L, 338L, 313L, 355L, 288L, 440L, 435L,
    303L, 360L, 270L, 435L, 283L, 373L, 353L, 265L, 265L, 425L,
    367L, 353L, 367L, 448L, 368L, 283L, 350L, 343L, 353L, 303L,
    355L, 368L, 373L, 343L, 375L, 348L, 413L, 362L, 303L, 298L,
    313L, 300L, 440L, 349L, 355L, 318L, 355L, 388L, 363L, 440L,
    292L, 373L, 349L, 300L, 315L, 338L, 373L, 353L, 348L, 370L,
    362L, 338L, 440L, 440L, 350L, 296L, 343L, 368L, 349L, 423L,
    364L, 348L, 349L, 423L, 353L, 345L, 370L, 292L, 355L, 349L,
    355L, 276L, 440L, 283L, 358L, 375L, 348L, 440L, 355L, 423L,
    445L, 368L, 348L, 355L, 367L), CHARTERVALUE = c(14000L, 12825L,
    10475L, 11850L, 13250L, 12100L, 11875L, 14500L, 12500L, 10500L,
    13375L, 14500L, 13400L, 11000L, 12750L, 11625L, 11875L, 10500L,
    11850L, 11900L, 11850L, 12750L, 12500L, 12000L, 12250L, 12750L,
    10450L, 12900L, 12425L, 13375L, 12075L, 13400L, 12625L, 11125L,
    12000L, 11875L, 13400L, 12000L, 12500L, 12750L, 11900L, 13625L,
    12750L, 11800L, 12500L, 12500L, 9850L, 12000L, 12350L, 11125L,
    12750L, 11800L, 12750L, 12500L, 12250L, 13125L, 13125L, 13125L,
    12500L, 11800L, 11875L, 11850L, 11500L, 12625L, 13125L, 11900L,
    10425L, 12250L, 12375L, 12400L, 11875L, 11625L, 11800L, 12400L,
    12000L, 14000L, 12000L, 13125L, 12250L, 12625L, 13875L, 12400L,
    11875L, 11625L, 11000L, 12075L, 10450L, 12625L, 13375L, 12875L,
    13125L, 12375L, 11125L, 13625L, 11875L, 9850L, 12375L, 12100L,
    14500L, 12000L, 13875L, 11875L, 12400L, 12375L, 13125L, 13250L,
    13875L, 11900L, 11900L, 12900L, 12875L, 12100L, 12350L, 12375L,
    13125L, 11850L, 12900L, 12750L, 13125L, 13875L, 13375L, 13025L,
    14500L, 13400L, 14500L, 12625L, 11875L, 10450L, 11800L, 12750L,
    12625L, 12250L, 11800L, 12250L, 13250L, 13250L, 12100L, 12750L,
    13625L, 11125L, 12400L, 10250L, 10475L, 10475L, 13400L, 13375L,
    12875L, 10475L, 11500L, 12400L, 11125L, 11850L, 13375L, 12400L,
    11800L, 10500L, 13375L, 13375L, 12500L, 12625L, 12500L, 12000L,
    13875L, 11125L, 12375L, 11125L, 13125L, 12625L, 12100L, 12500L,
    12375L, 10450L, 12750L, 12875L, 12250L, 13400L, 12250L, 13375L,
    11125L, 12750L, 12750L, 11875L, 14500L, 13400L, 12500L, 11500L,
    13375L, 13125L, 11850L, 12375L, 12400L, 10475L, 11000L, 14500L,
    12750L, 12400L, 12375L, 12250L, 12500L, 12400L, 11875L, 12250L,
    12750L, 11625L, 12900L, 14500L, 12500L, 13875L, 11875L, 13375L,
    12400L, 12500L, 12500L, 13375L, 12100L, 12500L, 12400L, 13025L,
    12900L, 12400L, 10475L, 12750L, 11850L, 12900L, 13375L, 11000L,
    11850L, 13125L, 13125L, 10450L, 12500L, 12250L, 12425L, 13875L,
    12000L, 10500L, 13125L, 11625L, 12975L, 12750L, 12500L, 12350L,
    11000L, 13125L, 12750L, 11800L, 12625L, 13375L, 12350L, 12875L,
    12425L, 12750L, 12675L, 10475L, 12500L, 11625L, 11850L, 12825L,
    11800L, 13375L, 14000L, 12625L, 11625L, 12400L, 11125L, 12375L,
    14500L, 12625L, 14000L, 10425L, 12875L, 13375L, 14500L, 12825L,
    12625L, 12500L, 12375L, 12875L, 9875L, 12750L, 12500L, 12750L,
    13250L, 11850L, 12250L, 12375L, 13875L, 9850L, 13125L, 12350L,
    11875L, 12000L, 11800L, 11875L, 12000L, 13875L, 13250L, 11625L,
    12500L, 12400L, 13625L, 13025L, 12350L, 12425L, 12350L, 12400L,
    12400L, 11625L, 12975L, 12500L, 11875L, 12400L, 11125L, 12000L,
    11900L, 13125L, 11625L, 12375L, 12250L, 12100L, 13375L, 12750L,
    12875L, 12675L, 10000L, 11875L, 11900L, 13625L, 12750L, 11900L,
    12500L, 12750L, 12750L, 12000L, 11800L, 12400L, 12375L, 9850L,
    12500L, 13875L, 11125L, 12750L, 12750L, 12625L, 12075L, 12875L,
    13125L, 12250L, 10450L, 11125L, 12825L, 11000L, 13125L, 11125L,
    13125L, 12000L, 12000L, 13375L, 13375L, 14500L, 12000L, 11000L,
    12400L, 12250L, 12000L, 13250L, 11625L, 12500L, 13125L, 13125L,
    11875L, 11000L, 12375L, 12500L, 9875L, 13875L, 12425L, 12400L,
    14000L, 12750L, 12400L, 11875L, 11875L, 12375L, 12075L, 12400L,
    14500L, 11800L, 12100L, 12625L, 14000L, 12350L, 12500L, 12100L,
    12625L, 12375L, 12250L, 10000L, 11625L, 14000L, 13375L, 12250L,
    13375L, 12500L, 11125L, 13400L, 11800L, 11900L, 11900L, 10425L,
    12400L, 11000L, 12500L, 12875L, 12750L, 12425L, 12750L, 9850L,
    11500L, 12750L, 9850L, 13375L, 11125L, 10500L, 13875L, 11875L,
    11800L, 11125L, 12750L, 12250L, 13375L, 12625L, 13375L, 11000L,
    11125L, 13125L, 12400L, 13375L, 12100L, 10500L, 13075L, 13375L,
    12375L, 11625L, 10000L, 13400L, 11125L, 13250L, 13875L, 9875L,
    9875L, 13375L, 12875L, 13875L, 12875L, 13500L, 12750L, 11125L,
    11850L, 12625L, 13875L, 12375L, 12100L, 13125L, 13250L, 12625L,
    12500L, 13125L, 12975L, 11800L, 12375L, 10425L, 13375L, 11500L,
    13075L, 11900L, 12100L, 11875L, 11125L, 12400L, 12900L, 13400L,
    11000L, 13250L, 11900L, 11500L, 12425L, 12400L, 13250L, 13625L,
    12500L, 11875L, 11800L, 12400L, 13125L, 13075L, 14000L, 9850L,
    14500L, 13125L, 11900L, 13125L, 13875L, 13125L, 11900L, 13125L,
    13875L, 12500L, 11875L, 11000L, 11125L, 11900L, 11125L, 10475L,
    13075L, 11125L, 14500L, 12500L, 13125L, 13125L, 12100L, 13125L,
    12250L, 13125L, 12500L, 11125L, 12875L)), class = "data.frame",
row.names = c(NA,
-527L))

Any guidance will be greatly appreciated,

Best regards,

Paul

	[[alternative HTML version deleted]]

Marc Schwartz

2019-Apr-23 19:23 UTC

head link

[R] Error in pglm function when performing logit regression on Panel Data

> On Apr 23, 2019, at 2:43 PM, Paul Bernal <paulbernal07 at gmail.com>
wrote:
> 
> Dear friends,
> 
> The following error is generated when trying to fit a logistic regression
> with the pglm function:
> 
>> PGLM_Model2 <-
>
pglm(dataframe2$TRANSIT~dataframe2$Draft+dataframe2$TOTALCOST+dataframe2$BUNKER+dataframe2$CHARTERVALUE,
> effect=c("twoways"), family=binomial('logit'),
index=dataframe2$ID,
> data=dataframe2)
> Error in pdata.frame(data, index) :
>  'index' can be of length 3 at the most (one index variable for
> individual, time, group)
> 
> This doesn?t make sense to me because the maximum length for ID is 3 and I
> checked it twice.
> 
> A few things to keep in mind:
> 1. I am using R version 3.5.3
> 2. My worstation has Windows 8 and it is a 64-bit OS
> 
> I would like to know what I?m doing wrong and how to solve this issue (if
> possible). I provide a dput() of my dataset below:
> 
> dput(dataframe2)'
<snip of dput output>
> Any guidance will be greatly appreciated,
> 
> Best regards,
> 
> Paul

Hi Paul,

I do not use pglm, but installed it.

Thanks for providing the dput() output of your data frame.

As is typical with R modeling functions, there is a reason for the
'data' argument, rather than specifying the 'dataframe$' prefix
syntax for each DV and IV.

It shortens the code required to specify the formula, but perhaps more
importantly, it defines the environment within which the function can find the
variables to be used by the function, as specified by the various arguments.

In this case, that is critical, since, as per the examples in ?pglm, the
'index' argument is to be specified as a character vector and not as the
vector objects themselves. That is, use "ID" and not ID. Therefore,
the function will search for the vector/column named "ID" within the
dataframe2 object, which is the argument to 'data'.

Unfortunately, the help for the function does not make it clear that the value
for 'index' should be a character vector, it simply says 'the
index'. Thus one needs to look at the examples for some guidance.

You might want to point that out to the maintainer of the package (copied here
now) as an improvement in the documentation.

Thus:
> pglm(TRANSIT ~ Draft + TOTALCOST + BUNKER + CHARTERVALUE, data =
dataframe2, effect = "twoways", family = binomial("logit"),
index = "ID")Maximum Likelihood estimation
Newton-Raphson maximisation, 0 iterations
Return code 100: Initial value out of range.

You now have other issues to deal with, which appear to be coming from the
maxLik() function used from the package of the same name, which is a dependency
for pglm, and I will leave those to you to resolve, probably using the
'start' argument to pglm().

Regards,

Marc Schwartz

R help - Apr 2019 - Error in pglm function when performing logit regression on Panel Data

[R] Error in pglm function when performing logit regression on Panel Data

[R] Error in pglm function when performing logit regression on Panel Data