<div dir="ltr"><div><div>Caros amigos<br><br></div>Tenho os seguintes dados abaixo. Desejo avaliar a resposta NEFA em função dos fatores TRATAMENTO E TEMPO. Acontece que a variável NEFA possui muitos zeros, os quais são também respostas. Gostaria de sugestões de como posso analisar tal tipo de dado.<br><br></div>att<br><div><div><div><br>dados<-structure(list(ANIMAL = structure(c(13L, 13L, 13L, 13L, 13L, <br>13L, 13L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, <br>3L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 5L, 5L, 5L, 5L, 5L, 5L, <br>5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 12L, 12L, 12L, 12L, 12L, 12L, <br>12L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 8L, 8L, 8L, 8L, 8L, 8L, <br>8L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 15L, 15L, 15L, 15L, 15L, <br>15L, 15L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 7L, 7L, 7L, 7L, <br>7L, 7L, 7L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 18L, 18L, 18L, 18L, 18L, <br>18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 11L, 11L, 11L, 11L, <br>11L, 11L, 11L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 17L, 17L, 17L, 17L, <br>17L, 17L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("20", "18", "3", <br>"2", "5", "6", "13", "9", "14", "4", "17", "7", "1", "12", "11", <br>"8", "19", "15", "16", "10"), class = c("ordered", "factor")), <br> TRATAMENTO = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, <br> 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, <br> 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, <br> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, <br> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, <br> 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, <br> 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, <br> 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, <br> 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, <br> 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L), .Label = c("0.146", <br> "0.154", "0.182", "0.214"), class = "factor"), TEMPO = structure(c(1L, <br> 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, <br> 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, <br> 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, <br> 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, <br> 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, <br> 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, <br> 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, <br> 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, <br> 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 1L, 2L, 3L, 4L, <br> 5L, 6L), .Label = c("0", "6", "12", "24", "36", "60", "84"<br> ), class = "factor"), NEFA = c(0.28762, 0, 0, 0, 0.0344, <br> 0, 0, 0.12422, 0, 0, 0, 0.00382, 0, 0, 0.08313, 0, 0, 0, <br> 0.00192, 0, 0, 0.2064, 0, 0, 0, 0.02007, 0, 0, 0.16244, 0, <br> 0, 0, 0, 0, 0, 0.16626, 0, 0, 0, 0.08982, 0, 0, 0.23602, <br> 0.01242, 0, 0, 0, 0, 0, 0.5179, 0, 0, 0, 0, 0, 0, 0.18728, <br> 0, 0, 0, 0.0086, 0, 0, 0.71283, 0, 0, 0, 0.00764, 0, 0, 0.30386, <br> 0, 0, 0, 0.0086, 0, 0, 0.2943, 0, 0, 0, 0.01911, 0, 0, 0.17009, <br> 0.0258, 0, 0, 0, 0, 0, 0.20066, 0, 0, 0, 0, 0, 0, 0.5781, <br> 0, 0, 0, 0.01338, 0, 0, 0.5867, 0, 0, 0, 0.01624, 0, 0, 0.23315, <br> 0, 0, 0, 0, 0, 0, 0.06211, 0, 0, 0, 0, 0, 0, 0.54083, 0, <br> 0, 0, 0.01816, 0, 0.05638, 0.05829, 0, 0, 0.02484, 0)), .Names = c("ANIMAL", <br>"TRATAMENTO", "TEMPO", "NEFA"), class = c("nffGroupedData", "nfGroupedData", <br>"groupedData", "data.frame"), row.names = c(1L, 2L, 3L, 4L, 5L, <br>6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, <br>19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, <br>32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, <br>45L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, <br>58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, <br>71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, <br>84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, <br>97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, <br>108L, 109L, 110L, 111L, 112L, 113L, 114L, 115L, 116L, 117L, 118L, <br>119L, 120L, 121L, 122L, 123L, 124L, 125L, 126L, 127L, 128L, 129L, <br>130L, 131L, 132L, 134L, 135L, 136L, 137L, 138L, 139L), formula = NEFA ~ <br> TEMPO | ANIMAL, FUN = function (x) <br>max(x, na.rm = TRUE), order.groups = TRUE, na.action = structure(c(133L, <br>140L), .Names = c("133", "140"), class = "omit"))<br clear="all"><br>-- <br><div class="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr">=======================================================================<br>Fernando Souza<br>Zootecnista, DSc. Produção Animal<br>celular: (+55) 82 8113-8781<br><a href="mailto:e-mail%3Anandodesouza@gmail.com" target="_blank">e-mail:nandodesouza@gmail.com</a><br><a href="https://producaoanimalcomr.wordpress.com/" target="_blank">https://producaoanimalcomr.wordpress.com/</a><br>========================================================================<br></div></div></div></div></div></div>
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