[R-br] dúvida - modelo

[Benilton Carvalho]

modelagem envolve muito mais que os dados com os quais vc esta'
trabalhando... na verdade, o processo gerador dos dados e' q e'
relevante... vc precisa entender a "historia" dos dados...

sobre os seus dados, pergunte-se: 1) eles sao sempre inteiros? 2) se
sim, eles representam o numero de tentativas (de alguma coisa) ate' o
primeiro sucesso (ou falha)? 3) se sim, cada uma dessas tentativas tem
a mesma chance de sucesso (ou falha)?

se sua resposta for "nao" para qq uma das perguntas acima, e' pouco
provavel que uma geometrica seja a resposta q vc procura...

b

2012/8/17 Sérgio Henrique almeida da silva ju <sergio.edfisica em gmail.com>:
> Olá
>
> Estou modelando um conjunto de dados e a variável resposta parece ter
> distribuição geométrica, qual é a melhor forma de modelar esses dados?
>
> Abraços
>
>
> dput(dados)
> structure(list(AFtotal = structure(c(103L, 76L, 58L, 105L, 125L,
> 163L, 106L, 146L, 227L, 187L, 5L, 117L, 147L, 39L, 232L, 2L,
> 67L, 150L, 46L, 118L, 18L, 171L, 157L, 226L, 80L, 96L, 142L,
> 162L, 128L, 152L, 109L, 10L, 108L, 102L, 47L, 208L, 122L, 78L,
> 176L, 3L, 196L, 40L, 209L, 119L, 179L, 29L, 1L, 81L, 190L, 24L,
> 204L, 28L, 92L, 136L, 104L, 85L, 91L, 15L, 141L, 13L, 11L, 121L,
> 112L, 210L, 31L, 6L, 70L, 156L, 114L, 68L, 107L, 112L, 211L,
> 167L, 1L, 215L, 88L, 213L, 194L, 136L, 220L, 199L, 136L, 9L,
> 136L, 118L, 38L, 192L, 42L, 62L, 155L, 19L, 79L, 48L, 138L, 172L,
> 134L, 231L, 231L, 216L, 136L, 195L, 130L, 101L, 217L, 205L, 174L,
> 36L, 111L, 140L, 106L, 99L, 22L, 218L, 170L, 7L, 8L, 136L, 19L,
> 62L, 25L, 123L, 1L, 137L, 220L, 97L, 52L, 169L, 190L, 216L, 1L,
> 53L, 172L, 100L, 79L, 86L, 201L, 61L, 198L, 17L, 218L, 67L, 106L,
> 193L, 1L, 138L, 164L, 200L, 190L, 133L, 129L, 74L, 186L, 72L,
> 41L, 177L, 48L, 113L, 50L, 229L, 178L, 106L, 124L, 75L, 14L,
> 148L, 218L, 191L, 19L, 219L, 30L, 1L, 71L, 112L, 172L, 21L, 221L,
> 16L, 203L, 27L, 69L, 143L, 82L, 207L, 223L, 32L, 54L, 60L, 59L,
> 1L, 97L, 149L, 63L, 132L, 212L, 214L, 1L, 1L, 165L, 77L, 20L,
> 73L, 26L, 168L, 160L, 233L, 139L, 1L, 188L, 95L, 175L, 206L,
> 93L, 144L, 135L, 56L, 6L, 189L, 197L, 45L, 30L, 35L, 1L, 4L,
> 136L, 154L, 89L, 65L, 184L, 225L, 230L, 151L, 1L, 173L, 43L,
> 44L, 33L, 182L, 34L, 153L, 1L, 1L, 90L, 106L, 110L, 98L, 1L,
> 219L, 1L, 1L, 116L, 49L, 64L, 57L, 131L, 185L, 145L, 17L, 94L,
> 1L, 180L, 1L, 120L, 159L, 51L, 172L, 181L, 183L, 7L, 87L, 106L,
> 228L, 55L, 126L, 157L, 218L, 158L, 115L, 133L, 222L, 84L, 166L,
> 1L, 37L, 1L, 1L, 202L, 66L, 12L, 1L, 83L, 23L, 110L, 233L, 231L,
> 161L, 106L, 224L, 127L), .Label = c("0,00", "1.031,00", "1.035,00",
> "1.042,50", "1.064,00", "1.080,00", "1.120,00", "1.155,00", "1.171,50",
> "1.177,50", "1.179,00", "1.200,00", "1.204,50", "1.210,00", "1.218,00",
> "1.220,00", "1.230,00", "1.233,00", "1.260,00", "1.275,00", "1.287,00",
> "1.290,00", "1.314,00", "1.320,00", "1.356,00", "1.359,50", "1.400,00",
> "1.410,00", "1.418,00", "1.440,00", "1.466,00", "1.480,00", "1.500,00",
> "1.566,00", "1.572,00", "1.590,00", "1.611,00", "1.652,00", "1.680,00",
> "1.722,00", "1.734,00", "1.740,00", "1.752,00", "1.800,00", "1.818,00",
> "1.821,00", "1.833,00", "1.836,00", "1.854,00", "1.872,00", "1.900,00",
> "1.920,00", "1.938,00", "10.080,00", "10.230,00", "10.557,00",
> "10.680,00", "11.238,00", "12.000,00", "12.270,00", "12.420,00",
> "120,00", "13.644,00", "13.860,00", "14.590,00", "150,00", "165,00",
> "180,00", "2.002,50", "2.060,00", "2.078,00", "2.100,00", "2.120,00",
> "2.157,00", "2.320,00", "2.332,50", "2.376,00", "2.382,00", "2.430,00",
> "2.457,00", "2.475,00", "2.504,00", "2.520,00", "2.526,00", "2.532,00",
> "2.556,00", "2.572,00", "2.580,00", "2.616,00", "2.640,00", "2.645,00",
> "2.655,00", "2.706,00", "2.739,00", "2.745,00", "2.767,50", "2.784,00",
> "2.798,00", "2.820,00", "2.841,00", "2.895,00", "2.937,00", "2.940,00",
> "2.965,00", "21.515,00", "240,00", "247,50", "259,00", "26.862,00",
> "264,00", "273,00", "297,00", "3.019,00", "3.035,00", "3.036,00",
> "3.282,00", "3.306,00", "3.360,00", "3.497,00", "3.504,00", "3.510,00",
> "3.540,00", "3.600,00", "3.615,00", "3.660,00", "3.710,00", "3.840,00",
> "3.892,50", "3.900,00", "3.960,00", "3.977,00", "3.996,00", "300,00",
> "318,00", "330,00", "360,00", "372,00", "396,00", "4.020,00",
> "4.086,00", "4.092,00", "4.100,00", "4.140,00", "4.158,00", "4.200,00",
> "4.219,50", "4.331,00", "4.359,00", "4.554,00", "4.618,00", "4.680,00",
> "4.770,00", "407,50", "410,00", "420,00", "424,00", "480,00",
> "495,00", "5.052,00", "5.160,00", "5.340,00", "5.622,00", "5.688,00",
> "5.715,00", "5.745,00", "5.832,00", "5.940,00", "5.958,00", "510,00",
> "516,00", "537,00", "540,00", "565,50", "570,00", "575,00", "576,00",
> "585,00", "6.097,50", "6.285,00", "6.495,00", "6.556,00", "6.576,00",
> "6.720,00", "6.746,00", "6.828,00", "639,00", "645,00", "655,00",
> "66,00", "660,00", "678,00", "690,00", "693,00", "696,00", "7.056,00",
> "7.074,00", "7.200,00", "7.236,00", "7.245,00", "7.500,00", "7.600,00",
> "7.680,00", "7.860,00", "7.920,00", "720,00", "738,00", "754,00",
> "754,50", "780,00", "795,00", "8.268,00", "8.467,50", "8.592,00",
> "8.755,00", "8.820,00", "80,00", "801,00", "810,00", "812,00",
> "840,00", "876,00", "882,00", "895,50", "9.120,00", "9.150,00",
> "9.310,00", "9.508,00", "924,00", "930,00", "933,00", "960,00",
> "99,00", "990,00"), class = "factor")), .Names = "AFtotal", class =
> "data.frame", row.names = c(NA,
> -299L))
>
>
> --
> Sérgio Henrique Almeida da Silva Junior
> Doutorando em Epidemiologia em Saúde Pública
> Escola Nacional de Saúde Pública Sérgio Arouca - ENSP/FIOCRUZ
> http://lattes.cnpq.br/1611345552843383
> Tel: (21) 94429486/78101651 id: 123*20942
>
>
>
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