我的数据集如下：
> head(GLM_df)
hour Feeding Foraging Standing ID Area Feeding_Foraging
1 0 0.119 0.789 0.0339 41361 Seronera 0.908
2 1 0.0920 0.819 0.0339 41361 Seronera 0.911
3 2 0.0847 0.824 0.0678 41361 Seronera 0.909
4 3 0.233 0.632 0.132 41361 Seronera 0.866
5 4 0.254 0.597 0.124 41361 Seronera 0.852
6 5 0.245 0.664 0.0832 41361 Seronera 0.909
我正在尝试运行glmer()模型来验证交互，相关的错误如下：
> m <- glmer(cbind(Feeding_Foraging,Standing) ~ poly(hour,2)*Area+(1|ID) , data=GLM_df , family=binomial)
Error in length(value <- as.numeric(value)) == 1L :
(maxstephalfit) PIRLS step-halvings failed to reduce deviance in pwrssUpdate
In addition: Warning message:
In eval(family$initialize, rho) : non-integer counts in a binomial glm!
如果没有在正确的论坛上提问，我深感抱歉，但是有人知道造成此错误的原因吗？我一直在使用此数据集来运行其他glmer()模型，但没有出现此类问题，因此希望有人能为我提供帮助。
我可以提供以下数据的dput()样本：
> dput(GLM_df)
structure(list(hour = c(0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L,
10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L,
23L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L,
14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 0L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L,
17L, 18L, 19L, 20L, 21L, 22L, 23L, 0L, 1L, 2L, 3L, 4L, 5L, 6L,
7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L,
20L, 21L, 22L, 23L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L,
11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L,
0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L,
15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L), Feeding = c(0.118579234700529,
0.0919594065024507, 0.0846994533575204, 0.233092895639896, 0.254098360072561,
0.244523639258233, 0.238513660654777, 0.245289616923379, 0.211748633393801,
0.253514225911475, 0.275555554923133, 0.222477230819087, 0.232641165221989,
0.238368461591879, 0.30265937999754, 0.433661201190504, 0.178745053292422,
0.12125395428024, 0.10605844594333, 0.163238946470857, 0.174611180767811,
0.22483854891269, 0.177868852050793, 0.183918813004901, 0.241998438164344,
0.161698956409812, 0.158105646267371, 0.36138433432542, 0.468670308578279,
0.333151183206247, 0.32072859671381, 0.301413227120555, 0.295571885509692,
0.313952640445209, 0.343315117609149, 0.309435336266141, 0.345573769698683,
0.307176684176607, 0.322987248803344, 0.303788706042306, 0.266520946564997,
0.179710144515087, 0.151781420416677, 0.272293057460473, 0.384777516681307,
0.358157688483229, 0.370418942683556, 0.295571885509692, 0.194038747691774,
0.0980730512560762, 0.104719324151116, 0.287394007254483, 0.360255008280653,
0.356867030146353, 0.303788706042306, 0.297908422154037, 0.295883423728938,
0.309435336266141, 0.335409835295781, 0.294754097684171, 0.329763205071946,
0.311693988355675, 0.252969034027794, 0.320554854245385, 0.269908924699298,
0.114670029160951, 0.145400728263743, 0.208925318281884, 0.252065573191981,
0.343637782193368, 0.234552332374672, 0.25071038193826, 0.139938227286338,
0.127049180036281, 0.0779234970889187, 0.271038250744065, 0.37923497180722,
0.365027321566604, 0.313661201465914, 0.342076501947147, 0.292896174191167,
0.283060108639971, 0.271038250744065, 0.238251365573412, 0.196721311023918,
0.191256830162143, 0.16601092858074, 0.0626775954845651, 0.134426229199678,
0.105704917790185, 0.11195058182907, 0.140192198660723, 0.14806719253611,
0.21262483463543, 0.226733921295516, 0.21891551021636, 0.120612021581109,
0.140939890386914, 0.0931693986932724, 0.2142076497816, 0.228415300022216,
0.194244079699913, 0.181821493207477, 0.186922931547631, 0.153588342088304,
0.15187488188245, 0.135519125372033, 0.171657558804575, 0.144302772386887,
0.113322027250751, 0.0931693986932724, 0.0657666343717217, 0.126775955993192,
0.0912147959234835, 0.0966201171633936, 0.143219075677262, 0.127049180036281,
0.145683059774935, 0.171657558804575, 0.140731399424803, 0.238570126957016,
0.109339294334254, 0.14013909555517, 0.190856101565613, 0.175240248325904,
0.217486338298665, 0.251366119641673, 0.295081966535877, 0.278688523950551,
0.268852458399355, 0.349726775153633, 0.328961747878886, 0.351912567498343,
0.284153004812326, 0.220218578729553, 0.179437360446302, 0.283460837236502,
0.156693988711413, 0.114187411193102, 0.207187893597627, 0.198761383878981,
0.22134790477432, 0.199890709923748, 0.218466176246294), Foraging = c(0.78939890529209,
0.81876138245603, 0.824408012679865, 0.632422585069486, 0.59741347768171,
0.66404371432296, 0.599672129771244, 0.632422585069486, 0.629034606935185,
0.575956282831139, 0.525136610816626, 0.588378869323575, 0.577085608875906,
0.574826956786372, 0.482222221115483, 0.336377829048438, 0.677595626860163,
0.811985426187429, 0.797304187605459, 0.744225863501412, 0.727285972829908,
0.702440799845036, 0.721639342606074, 0.744225863501412, 0.593480307663729,
0.692276865442133, 0.705828777979336, 0.29136611954987, 0.178520386307389,
0.320647930567756, 0.343470886718772, 0.422913132626516, 0.393706424572198,
0.350480496651808, 0.350091073877751, 0.339966081752254, 0.289107467460336,
0.294403617187519, 0.226644054501503, 0.185602280400827, 0.465282330443979,
0.671948996636328, 0.677595626860163, 0.525136610816626, 0.359125682235886,
0.398652093802729, 0.407725644438271, 0.496903459697453, 0.519489980592792,
0.647103823651456, 0.618870672532282, 0.247583017506598, 0.159987856341983,
0.170810564270999, 0.290898812221001, 0.315807961804469, 0.2952380945605,
0.274543055710583, 0.21405861848537, 0.274947456283643, 0.241067674940635,
0.254098360072561, 0.192437158028286, 0.1589743586095, 0.334732239668921,
0.591766847457876, 0.587638966052866, 0.500018841889913, 0.436807180886641,
0.401884302827407, 0.44922080447396, 0.438017173077463, 0.748633878063245,
0.820765025438681, 0.896174861331183, 0.336612021085371, 0.116546447819948,
0.204633879311769, 0.282720933965792, 0.313952640445209, 0.293235348865346,
0.217959926640019, 0.244687309699503, 0.267759562227, 0.256357012162095,
0.20666666619235, 0.110109289364776, 0.0532396563961557, 0.284590163281268,
0.810928959887485, 0.790163932612739, 0.619999998577049, 0.523384208333367,
0.47682655223493, 0.493009231956877, 0.637874503906291, 0.632422585069486,
0.726775954616143, 0.817486336921616, 0.340983605774792, 0.142779078516963,
0.193598750531475, 0.256357012162095, 0.254682494233647, 0.206783493024567,
0.19198542761038, 0.221428570920375, 0.213793102957603, 0.203278688058049,
0.194157208465701, 0.112932604476694, 0.0948633877604228, 0.380582877086458,
0.787978140268028, 0.810928959887485, 0.719125681409657, 0.625136610587118,
0.562404370293935, 0.366120217738959, 0.535519124454, 0.655009105964824,
0.782513659406253, 0.757377047442085, 0.18996877395901, 0.158105646267371,
0.182574377237322, 0.24367381196702, 0.248087431124608, 0.269869982421893,
0.283586317908142, 0.23846153791425, 0.29272131080359, 0.220218578729553,
0.13834244048395, 0.101639344029024, 0.0846994533575204, 0.23846153791425,
0.745355189546179, 0.686338796239004, 0.605318759995079, 0.500936767000192,
0.414375787195254, 0.393442622047837, 0.509364988467295), Standing = c(0.0338797813430082,
0.0338797813430082, 0.0677595626860163, 0.131754705222809, 0.124225864924363,
0.0831594632964746, 0.162622950446439, 0.101639344029024, 0.112932604476694,
0.0931693986932724, 0.0975737702678635, 0.101639344029024, 0.12046144477514,
0.128743169103431, 0.137059115433078, 0.14761904728025, 0.0677595626860163,
0.0338797813430082, 0.0338797813430082, 0.0639951425367932, 0.0423497266787602,
0.0677595626860163, 0.107285974252859, 0.054207650148813, 0.0790528231336857,
0.0609836064174147, 0.0451730417906775, 0.195749847759603, 0.229629629102611,
0.225865208953388, 0.198259461192418, 0.160928961379289, 0.183201780595526,
0.203278688058049, 0.149321999252517, 0.198605614769358, 0.212958625584623,
0.281462798849606, 0.306128024277895, 0.398379497860889, 0.111677797760286,
0.0677595626860163, 0.0547288775540901, 0.0931693986932724, 0.145830363172079,
0.153350589236774, 0.105403764178248, 0.149071037909236, 0.152459016043537,
0.135519125372033, 0.119882303213721, 0.254098360072561, 0.296740153831865,
0.255227686117328, 0.178182553729895, 0.206102003169966, 0.186338797386545,
0.175045536938875, 0.264028640811029, 0.235903662684649, 0.235855400887864,
0.189259468191977, 0.333151183206247, 0.403169397981797, 0.203278688058049,
0.0884638735067435, 0.116461748366591, 0.127819175066803, 0.183918813004901,
0.155538996165628, 0.179710144515087, 0.15951730382333, 0.190573770054421,
0.167140254625507, 0.11067395238716, 0.392349725875482, 0.526775955075159,
0.469945354112694, 0.421857922529069, 0.365901638504488, 0.43278688425262,
0.506010927800412, 0.515846993351608, 0.493989069904506, 0.555191255556392,
0.608743168001792, 0.768306009165636, 0.947540981431873, 0.590163933071755,
0.169398906715041, 0.163752276491206, 0.297658078942143, 0.42228727459678,
0.412398717726961, 0.432306009936784, 0.283743168747693, 0.300400727908006,
0.183201780595526, 0.132573057429162, 0.444808742148526, 0.6426229493448,
0.637158468483024, 0.575956282831139, 0.58688524455469, 0.657923495757771,
0.690710380928424, 0.664480872791902, 0.633879779965959, 0.690710380928424,
0.731147539305563, 0.828415298645167, 0.933333331191257, 0.504918031628057,
0.161580495635885, 0.141411261257773, 0.231511839177222, 0.389617485444594,
0.325245900892878, 0.467759561767984, 0.370341058128744, 0.244523639258233,
0.255094824229708, 0.184927139830586, 0.643715845517155, 0.774863386199767,
0.676502730687808, 0.544262293832841, 0.456830600044432, 0.468852457940339,
0.48415300435331, 0.450273223010302, 0.43497267659733, 0.449180326837947,
0.608743168001792, 0.724590162271432, 0.816393440749261, 0.525683058902804,
0.196825396373666, 0.2766848809679, 0.298142075818472, 0.393247462017059,
0.468475597191251, 0.426885244921903, 0.380496005852245), ID = structure(c(1L,
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Area = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
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0.812506653592706, 0.699698150879173, 0.635723691969573,
0.593333331971585, 0.727831164713589)), row.names = c(NA,
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117L, 141L), c(22L, 46L, 70L, 94L, 118L, 142L), c(23L, 47L,
71L, 95L, 119L, 143L)), group_sizes = c(6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L), biggest_group_size = 6L, labels = structure(list(
hour = 0:23), row.names = c(NA, -24L), class = "data.frame", vars = "hour"), class = c("grouped_df",
"tbl_df", "tbl", "data.frame"))
感谢任何输入！