我正在尝试使用DHARMa模拟包含正交多项式项的模型的残差：
cpr<-glmmTMB(cp ~ poly(zrc,2)*poly(zoc,2) + site + (1|plotpair),
family = poisson,
ziformula = ~0,
data = onrom)
cprsimulationOutput <- simulateResiduals(fittedModel = cpr, plot = T)
我收到以下错误消息：
Error in (function (..., degree = 1, coefs = NULL, raw = FALSE) :
wrong number of columns in new data: c(-2.14030967312799,...)
如果我使用(I(zrc^2) + zrc)*(I(zoc^2) + zoc)使用原始多项式运行模型，则残差模拟运行得很好。这是不理想的，因为我想独立地评估每个多项式次数的重要性。
我在此thread中了解到，poly()函数在内部建立了一个新的模型矩阵，并为我的多项式预测变量的每个度数提供了单独的列。我怀疑这是在DHARMa中运行残差模拟时出现的错误的根源，尽管我不确定如何解决该问题。任何帮助将不胜感激。
我的数据：
>dput(onrom)
structure(list(tp = c(466, 340, 473, 330, 532, 832, 408, 379,
803, 647, 857, 327, 632, 872, 912, 904, 723, 379, 649, 873, 290,
377, 690, 393, 800, 1347, 370, 540, 923, 375, 630, 1107, 494,
550, 531, 664, 663, 158, 733, 347, 385, 395, 395, 565, 412, 523,
192, 350, 560, 360, 1170, 6, 324, 162, 390, 403, 421, 460, 943,
621, 570, 978, 470, 385, 330, 602, 764, 335, 1084, 1011, 331,
460, 279, 274, 917, 385, 777, 740, 485, 357, 444, 747, 439, 570,
382, 468, 465, 275, 1121, 815, 244, 231, 301, 755, 735, 321,
281, 802, 662, 360, 365, 826, 920, 593, 454, 759, 425, 526, 526,
141, 601, 520, 580, 615, 425, 1007, 470, 520, 562, 410, 419,
828, 1200, 519, 1157), cp = c(445, 340, 472, 330, 530, 829, 408,
378, 760, 645, 852, 327, 632, 869, 910, 900, 720, 376, 500, 870,
290, 375, 690, 390, 800, 1347, 370, 540, 920, 375, 630, 1100,
490, 550, 530, 660, 663, 158, 730, 340, 385, 395, 395, 565, 411,
520, 190, 350, 560, 360, 1170, 6, 324, 162, 390, 381, 415, 460,
940, 620, 570, 978, 470, 385, 330, 600, 733, 335, 1072, 1010,
330, 460, 270, 250, 911, 375, 773, 740, 480, 350, 435, 746, 410,
570, 354, 460, 465, 275, 1120, 815, 240, 230, 297, 755, 715,
320, 268, 802, 650, 360, 365, 820, 920, 593, 450, 759, 425, 490,
526, 135, 600, 520, 580, 615, 425, 1000, 470, 520, 562, 410,
410, 828, 1200, 515, 1157), hp = c(21, 0, 1, 0, 2, 3, 0, 1, 43,
2, 5, 0, 0, 3, 2, 4, 3, 3, 149, 3, 0, 2, 0, 3, 0, 0, 0, 0, 3,
0, 0, 7, 4, 0, 1, 4, 0, 0, 3, 7, 0, 0, 0, 0, 1, 3, 2, 0, 0, 0,
0, 0, 0, 0, 0, 22, 6, 0, 3, 1, 0, 0, 0, 0, 0, 2, 31, 0, 12, 1,
1, 0, 9, 24, 6, 10, 4, 0, 5, 7, 9, 1, 29, 0, 28, 8, 0, 0, 1,
0, 4, 1, 4, 0, 20, 1, 13, 0, 12, 0, 0, 6, 0, 0, 4, 0, 0, 36,
0, 6, 1, 0, 0, 0, 0, 7, 0, 0, 0, 0, 9, 0, 0, 4, 0), cpfrac = c(0.954935622317597,
1, 0.997885835095137, 1, 0.996240601503759, 0.996394230769231,
1, 0.997361477572559, 0.946450809464508, 0.996908809891808, 0.99416569428238,
1, 1, 0.996559633027523, 0.99780701754386, 0.995575221238938,
0.995850622406639, 0.992084432717678, 0.770416024653313, 0.996563573883162,
1, 0.994694960212202, 1, 0.99236641221374, 1, 1, 1, 1, 0.996749729144095,
1, 1, 0.993676603432701, 0.991902834008097, 1, 0.998116760828625,
0.993975903614458, 1, 1, 0.995907230559345, 0.979827089337176,
1, 1, 1, 1, 0.997572815533981, 0.994263862332696, 0.989583333333333,
1, 1, 1, 1, 1, 1, 1, 1, 0.945409429280397, 0.985748218527316,
1, 0.996818663838812, 0.998389694041868, 1, 1, 1, 1, 1, 0.996677740863787,
0.959424083769634, 1, 0.988929889298893, 0.999010880316518, 0.996978851963746,
1, 0.967741935483871, 0.912408759124088, 0.993456924754635, 0.974025974025974,
0.994851994851995, 1, 0.989690721649485, 0.980392156862745, 0.97972972972973,
0.998661311914324, 0.933940774487471, 1, 0.926701570680628, 0.982905982905983,
1, 1, 0.999107939339875, 1, 0.983606557377049, 0.995670995670996,
0.98671096345515, 1, 0.972789115646258, 0.996884735202492, 0.953736654804271,
1, 0.981873111782477, 1, 1, 0.99273607748184, 1, 1, 0.991189427312775,
1, 1, 0.931558935361217, 1, 0.957446808510638, 0.998336106489185,
1, 1, 1, 1, 0.99304865938431, 1, 1, 1, 1, 0.978520286396181,
1, 1, 0.992292870905588, 1), rcount = c(2, 2, 2, 2, 3, 3, 3,
3, 3, 4, 4, 4, 5, 5, 5, 5, 6, 6, 7, 8, 9, 9, 10, 10, 10, 10,
11, 12, 12, 12, 14, 14, 15, 15, 16, 17, 21, 23, 25, 25, 27, 28,
32, 33, 34, 34, 34, 35, 35, 38, 38, 40, 40, 40, 41, 41, 41, 44,
44, 45, 45, 45, 46, 50, 50, 50, 50, 50, 51, 52, 54, 57, 57, 58,
58, 58, 59, 59, 60, 60, 61, 63, 63, 65, 67, 68, 68, 70, 73, 74,
75, 76, 76, 77, 77, 81, 85, 90, 94, 96, 103, 103, 104, 105, 108,
110, 113, 120, 122, 124, 138, 144, 149, 150, 151, 154, 167, 167,
175, 188, 200, 210, 217, 272, 310), ocount = c(15, 1, 19, 21,
52, 26, 61, 5, 22, 9, 19, 5, 103, 28, 53, 12, 24, 5, 70, 26,
45, 60, 47, 1, 6, 10, 49, 69, 60, 11, 227, 8, 10, 75, 15, 43,
335, 221, 96, 30, 0, 5, 9, 16, 44, 34, 10, 3, 12, 0, 1, 22, 6,
7, 30, 27, 18, 26, 109, 155, 18, 11, 15, 8, 26, 32, 8, 42, 45,
34, 15, 12, 4, 2, 11, 14, 14, 123, 15, 30, 18, 100, 3, 59, 4,
100, 17, 13, 23, 23, 96, 4, 12, 3, 16, 63, 182, 8, 28, 52, 106,
4, 26, 36, 3, 9, 12, 25, 7, 35, 4, 7, 3, 70, 13, 4, 13, 2, 56,
6, 143, 5, 2, 63, 4), plotpair = structure(c(10L, 18L, 77L, 5L,
43L, 50L, 54L, 73L, 75L, 41L, 72L, 82L, 42L, 1L, 4L, 7L, 64L,
80L, 67L, 14L, 21L, 45L, 42L, 55L, 63L, 75L, 66L, 31L, 36L, 78L,
16L, 3L, 69L, 4L, 79L, 44L, 18L, 28L, 28L, 58L, 17L, 66L, 51L,
48L, 13L, 62L, 69L, 6L, 7L, 39L, 78L, 48L, 71L, 77L, 45L, 49L,
1L, 11L, 24L, 30L, 41L, 56L, 63L, 23L, 52L, 58L, 68L, 73L, 37L,
11L, 8L, 54L, 65L, 46L, 74L, 76L, 13L, 25L, 15L, 38L, 9L, 34L,
70L, 34L, 74L, 35L, 47L, 59L, 38L, 68L, 29L, 26L, 59L, 76L, 81L,
25L, 33L, 8L, 62L, 15L, 27L, 49L, 52L, 27L, 71L, 2L, 20L, 12L,
40L, 31L, 60L, 22L, 67L, 24L, 5L, 61L, 53L, 57L, 35L, 46L, 19L,
32L, 53L, 19L, 61L), .Label = c("100", "101", "102", "103", "104",
"105", "108", "109", "110", "12", "14", "15", "17", "18", "19",
"20", "21", "22", "24", "25", "26", "29", "31", "32", "33", "35",
"36", "37", "39", "40", "41", "42", "43", "45", "46", "47", "48",
"49", "50", "51", "52", "53", "55", "56", "58", "59", "60", "61",
"62", "63", "64", "65", "66", "67", "68", "70", "71", "72", "73",
"74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84",
"85", "86", "88", "90", "91", "92", "93", "94", "95", "96", "98",
"99"), class = "factor"), obs = structure(c(1L, 1L, 1L, 1L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L,
2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("J", "M"), class = "factor"),
site = structure(c(2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L,
2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L,
2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L), .Label = c("12",
"9"), class = "factor"), date = structure(c(2L, 6L, 4L, 1L,
5L, 5L, 3L, 4L, 4L, 5L, 4L, 4L, 5L, 4L, 1L, 1L, 4L, 4L, 4L,
2L, 6L, 5L, 5L, 3L, 4L, 4L, 4L, 7L, 7L, 4L, 2L, 1L, 4L, 1L,
4L, 5L, 6L, 7L, 7L, 4L, 6L, 4L, 5L, 5L, 2L, 4L, 4L, 1L, 1L,
5L, 4L, 5L, 4L, 4L, 5L, 5L, 4L, 2L, 6L, 7L, 5L, 3L, 4L, 6L,
3L, 4L, 4L, 4L, 7L, 2L, 1L, 3L, 4L, 5L, 4L, 4L, 2L, 6L, 2L,
5L, 1L, 7L, 4L, 7L, 4L, 7L, 5L, 4L, 5L, 4L, 7L, 7L, 4L, 4L,
4L, 6L, 7L, 1L, 4L, 2L, 7L, 5L, 3L, 7L, 4L, 4L, 6L, 2L, 5L,
7L, 4L, 6L, 4L, 6L, 1L, 4L, 3L, 3L, 7L, 5L, 6L, 7L, 3L, 6L,
4L), .Label = c("fri12", "mon1", "mon8", "thur11?", "thur4",
"tue2", "wed3"), class = "factor"), zrc = structure(c(-2.14030967312799,
-2.14030967312799, -2.14030967312799, -2.14030967312799,
-1.89379837534285, -1.89379837534285, -1.89379837534285,
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zoc = structure(c(-0.151593506822675, -1.91438200437414,
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