首先感谢一下
全数据见附件
部分如下
| id | year | distance1 | sum1 | sum |
1 | 2006 | 183.21 | 5148 | 3.711722892 |
2 | 2006 | 442 | 1360 | 3.133858125 |
3 | 2006 | 187.33 | 11455 | 4.059033005 |
4 | 2006 | 795.74 | 287 | 2.459392488 |
5 | 2006 | 684.69 | 1485 | 3.172018809 |
6 | 2006 | 552.89 | 2382 | 3.377124042 |
7 | 2006 | 813.09 | 553 | 2.743509765 |
8 | 2006 | 525.11 | 53149 | 4.725503269 |
9 | 2006 | 510.27 | 29680 | 4.472478529 |
10 | 2006 | 806.29 | 201 | 2.305351369 |
11 | 2006 | 728.41 | 207 | 2.318063335 |
12 | 2006 | 770.91 | 42170 | 4.6250139 |
13 | 2006 | 766.86 | 11507 | 4.060999853 |
14 | 2006 | 987.29 | 563 | 2.751279104 |
15 | 2006 | 1250.55 | 703 | 2.847572659 |
16 | 2006 | 1369.28 | 6 | 0.84509804 |
17 | 2006 | 1246.47 | 4551 | 3.658202253 |
18 | 2006 | 1157.04 | 2032 | 3.308137379 |
19 | 2006 | 1178.97 | 5850 | 3.767230098 |
20 | 2006 | 1435.69 | 49 | 1.698970004 |
21 | 2006 | 1264.55 | 1392 | 3.143951116 |
22 | 2006 | 1358.17 | 172 | 2.238046103 |
23 | 2006 | 1579.72 | 216 | 2.336459734 |
24 | 2006 | 1561.39 | 119 | 2.079181246 |
25 | 2006 | 1509.79 | 0 | 0 |
26 | 2006 | 1563.55 | 52 | 1.72427587 |
27 | 2006 | 1456.39 | 57 | 1.763427994 |
28 | 2006 | 1472.95 | 161 | 2.209515015 |
29 | 2006 | 1398.46 | 1920 | 3.283527365 |
30 | 2006 | 1632.7 | 8 | 0.954242509 |
31 | 2006 | 1590.86 | 3 | 0.602059991 |
32 | 2006 | 902.86 | 705 | 2.848804701 |
33 | 2006 | 902.35 | 90 | 1.959041392 |
34 | 2007 | 442 | 38 | 1.591064607 |
35 | 2007 | 187.33 | 4061 | 3.608739919 |
36 | 2007 | 183.21 | 5148 | 3.711722892 |
37 | 2007 | 525.11 | 3067 | 3.486855355 |
38 | 2007 | 795.74 | 118 | 2.075546961 |
39 | 2007 | 684.69 | 741 | 2.870403905 |
40 | 2007 | 576.22 | 56 | 1.755874856 |
41 | 2007 | 813.09 | 420 | 2.624282096 |
42 | 2007 | 510.27 | 67498 | 4.829297339 |
43 | 2007 | 551.74 | 921 | 2.964730921 |
44 | 2007 | 552.89 | 0 | 0 |
45 | 2007 | 806.29 | 1086 | 3.036229544 |
46 | 2007 | 770.91 | 104824 | 5.020464871 |
47 | 2007 | 987.29 | 6 | 0.84509804 |
48 | 2007 | 0.99 | 6892 | 3.838408278 |
49 | 2007 | 1435.69 | 0 | 0 |
50 | 2007 | 1369.28 | 792 | 2.899273187 |
51 | 2007 | 1246.47 | 4009 | 3.603144373 |
52 | 2007 | 1250.55 | 8568 | 3.932930143 |
53 | 2007 | 1157.04 | 327 | 2.515873844 |
54 | 2007 | 1178.97 | 542 | 2.73479983 |
55 | 2007 | 1358.17 | 340 | 2.532754379 |
56 | 2007 | 1579.72 | 102 | 2.012837225 |
57 | 2007 | 1561.39 | 114 | 2.06069784 |
58 | 2007 | 1509.79 | 619 | 2.792391689 |
59 | 2007 | 1632.7 | 735 | 2.866877814 |
60 | 2007 | 1590.86 | 74 | 1.875061263 |
61 | 2007 | 1442.58 | 357 | 2.553883027 |
62 | 2007 | 1251.58 | 98 | 1.995635195 |
63 | 2007 | 1456.39 | 36 | 1.568201724 |
64 | 2007 | 1472.95 | 120 | 2.08278537 |
65 | 2007 | 902.86 | 48 | 1.69019608 |
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采用GLMM模型,想看sum与distance的关系,sum是取对数后的sum1
在R里面用的是M1 <- glmer(sum1 ~ distance1 + (1|year), family = poisson)
运行之后出现的问题如下
Warning messages:
1: In checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
Model failed to converge with max|grad| = 0.236049 (tol = 0.001, component 1)
2: In checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
Model is nearly unidentifiable: very large eigenvalue
- Rescale variables?;Model is nearly unidentifiable: large eigenvalue ratio
- Rescale variables?
应该是需要调整变量,但是不太清楚该如何调整,求大牛知道,跪谢跪谢~~~~