この質問があまり意味をなさない場合は申し訳ありませんが、ゲームで選択したモデルで事後分析を行おうとしています。私のコントラストに有意なp値がないのは正常ですか? 交互作用で自分の因子のどのレベルが選択されたかを見つけることを期待していました。OBS: 私は 169 サンプルのデータセットを持っており、どの環境特性 (水深、クロロフィル、海底タイプ、および SST) が CPUE (単位努力当たりの漁獲量) に関連性が高いかを理解しようとしています。私の唯一のカテゴリ変数は、13 レベルの Bottom Type です。
dredge(res)
Global model call: gam(formula = nCPUE ~ s(Depth) + s(Chlorophyll) + BottomType +
s(SST), data = morio)
---
Model selection table
(Int) BtT s(Chl) s(Dpt) s(SST) df logLik AICc delta weight
4 -0.62310 + 1.597 15 -304.318 641.8 0.00 0.821
10 18.10000 + -0.70940 15 -306.983 647.1 5.33 0.057
3 -0.16020 1.939 3 -320.855 647.9 6.08 0.039
8 -0.61760 + 1.479 0.0001209 16 -306.497 648.6 6.80 0.027
2 -0.29430 + 14 -308.959 648.6 6.87 0.026
12 4.10300 + 1.373 -0.18050 16 -306.995 649.6 7.80 0.017
14 17.05000 + 0.0001351 -0.67000 16 -308.616 652.8 11.04 0.003
6 -0.33730 + 0.0002019 15 -310.039 653.2 11.44 0.003
7 -0.08551 1.753 0.0002077 4 -322.626 653.5 11.72 0.002
11 1.19800 1.936 -0.05251 4 -322.824 653.9 12.12 0.002
16 5.40200 + 1.168 0.0001235 -0.22980 17 -308.923 655.9 14.13 0.001
1 0.34150 2 -326.765 657.6 15.83 0.000
9 17.61000 -0.66810 3 -325.910 658.0 16.19 0.000
15 2.63300 1.689 0.0001938 -0.10460 5 -324.395 659.2 17.38 0.000
5 0.37710 0.0002781 3 -326.857 659.9 18.09 0.000
13 15.94000 0.0002114 -0.60260 4 -326.783 661.8 20.04 0.000
Models ranked by AICc(x)
post.hoc = emmeans(res, specs = ~ BottomType|Chlorophyll)
moriotukey<-contrast(post.hoc, method = "pairwise")
summary(moriotukey)
contrast estimate SE df z.ratio p.value
CA 0.258698224852071 - (CA+RB 0.258698224852071) -2.3155 1.101 Inf -2.103 0.6619
CA 0.258698224852071 - (CA+RB+RE 0.258698224852071) -0.9394 1.729 Inf -0.543 1.0000
CA 0.258698224852071 - (CA+RE 0.258698224852071) -0.1050 1.966 Inf -0.053 1.0000
CA 0.258698224852071 - (CA+RE+MI+RB+SS 0.258698224852071) -3.9677 1.742 Inf -2.277 0.5338
CA 0.258698224852071 - (CA+RE+MI+RB+SS+TE 0.258698224852071) -4.2754 1.772 Inf -2.413 0.4346
CA 0.258698224852071 - MI 0.258698224852071 -0.4388 1.000 Inf -0.439 1.0000
CA 0.258698224852071 - (MI+RE 0.258698224852071) 0.0124 1.731 Inf 0.007 1.0000
CA 0.258698224852071 - RB 0.258698224852071 -0.6403 0.798 Inf -0.803 0.9999
CA 0.258698224852071 - (RB+RE 0.258698224852071) -1.9403 1.200 Inf -1.616 0.9253
CA 0.258698224852071 - (RB+SS+RE 0.258698224852071) -4.0034 1.804 Inf -2.220 0.5767
CA 0.258698224852071 - RE 0.258698224852071 -0.2632 0.795 Inf -0.331 1.0000
CA 0.258698224852071 - SS 0.258698224852071 -3.4633 1.341 Inf -2.583 0.3205
(CA+RB 0.258698224852071) - (CA+RB+RE 0.258698224852071) 1.3761 1.734 Inf 0.794 0.9999
(CA+RB 0.258698224852071) - (CA+RE 0.258698224852071) 2.2105 1.908 Inf 1.158 0.9950
(CA+RB 0.258698224852071) - (CA+RE+MI+RB+SS 0.258698224852071) -1.6521 1.731 Inf -0.954 0.9992
(CA+RB 0.258698224852071) - (CA+RE+MI+RB+SS+TE 0.258698224852071) -1.9599 1.748 Inf -1.121 0.9963
(CA+RB 0.258698224852071) - MI 0.258698224852071 1.8767 1.011 Inf 1.856 0.8210
(CA+RB 0.258698224852071) - (MI+RE 0.258698224852071) 2.3279 1.733 Inf 1.344 0.9818
(CA+RB 0.258698224852071) - RB 0.258698224852071 1.6753 0.809 Inf 2.070 0.6857
(CA+RB 0.258698224852071) - (RB+RE 0.258698224852071) 0.3752 1.184 Inf 0.317 1.0000
(CA+RB 0.258698224852071) - (RB+SS+RE 0.258698224852071) -1.6879 1.771 Inf -0.953 0.9992
(CA+RB 0.258698224852071) - RE 0.258698224852071 2.0523 0.797 Inf 2.574 0.3260
(CA+RB 0.258698224852071) - SS 0.258698224852071 -1.1478 1.353 Inf -0.848 0.9998
(CA+RB+RE 0.258698224852071) - (CA+RE 0.258698224852071) 0.8344 2.381 Inf 0.351 1.0000
(CA+RB+RE 0.258698224852071) - (CA+RE+MI+RB+SS 0.258698224852071) -3.0282 2.198 Inf -1.378 0.9776
(CA+RB+RE 0.258698224852071) - (CA+RE+MI+RB+SS+TE 0.258698224852071) -3.3359 2.222 Inf -1.502 0.9562
(CA+RB+RE 0.258698224852071) - MI 0.258698224852071 0.5007 1.671 Inf 0.300 1.0000
(CA+RB+RE 0.258698224852071) - (MI+RE 0.258698224852071) 0.9518 2.189 Inf 0.435 1.0000
(CA+RB+RE 0.258698224852071) - RB 0.258698224852071 0.2992 1.558 Inf 0.192 1.0000
(CA+RB+RE 0.258698224852071) - (RB+RE 0.258698224852071) -1.0009 1.799 Inf -0.556 1.0000
(CA+RB+RE 0.258698224852071) - (RB+SS+RE 0.258698224852071) -3.0639 2.247 Inf -1.363 0.9795
(CA+RB+RE 0.258698224852071) - RE 0.258698224852071 0.6763 1.557 Inf 0.434 1.0000
(CA+RB+RE 0.258698224852071) - SS 0.258698224852071 -2.5239 1.895 Inf -1.332 0.9831
(CA+RE 0.258698224852071) - (CA+RE+MI+RB+SS 0.258698224852071) -3.8626 2.302 Inf -1.678 0.9039
(CA+RE 0.258698224852071) - (CA+RE+MI+RB+SS+TE 0.258698224852071) -4.1704 2.254 Inf -1.850 0.8242
(CA+RE 0.258698224852071) - MI 0.258698224852071 -0.3338 1.929 Inf -0.173 1.0000
(CA+RE 0.258698224852071) - (MI+RE 0.258698224852071) 0.1174 2.363 Inf 0.050 1.0000
(CA+RE 0.258698224852071) - RB 0.258698224852071 -0.5352 1.824 Inf -0.293 1.0000
(CA+RE 0.258698224852071) - (RB+RE 0.258698224852071) -1.8353 1.927 Inf -0.953 0.9992
(CA+RE 0.258698224852071) - (RB+SS+RE 0.258698224852071) -3.8984 2.227 Inf -1.750 0.8737
(CA+RE 0.258698224852071) - RE 0.258698224852071 -0.1582 1.793 Inf -0.088 1.0000
(CA+RE 0.258698224852071) - SS 0.258698224852071 -3.3583 2.143 Inf -1.567 0.9400
(CA+RE+MI+RB+SS 0.258698224852071) - (CA+RE+MI+RB+SS+TE 0.258698224852071) -0.3077 2.193 Inf -0.140 1.0000
(CA+RE+MI+RB+SS 0.258698224852071) - MI 0.258698224852071 3.5289 1.689 Inf 2.089 0.6718
(CA+RE+MI+RB+SS 0.258698224852071) - (MI+RE 0.258698224852071) 3.9801 2.195 Inf 1.813 0.8438
(CA+RE+MI+RB+SS 0.258698224852071) - RB 0.258698224852071 3.3274 1.575 Inf 2.113 0.6551
(CA+RE+MI+RB+SS 0.258698224852071) - (RB+RE 0.258698224852071) 2.0273 1.786 Inf 1.135 0.9959
(CA+RE+MI+RB+SS 0.258698224852071) - (RB+SS+RE 0.258698224852071) -0.0357 2.207 Inf -0.016 1.0000
(CA+RE+MI+RB+SS 0.258698224852071) - RE 0.258698224852071 3.7045 1.566 Inf 2.366 0.4682
(CA+RE+MI+RB+SS 0.258698224852071) - SS 0.258698224852071 0.5043 1.915 Inf 0.263 1.0000
(CA+RE+MI+RB+SS+TE 0.258698224852071) - MI 0.258698224852071 3.8366 1.722 Inf 2.228 0.5706
(CA+RE+MI+RB+SS+TE 0.258698224852071) - (MI+RE 0.258698224852071) 4.2878 2.215 Inf 1.936 0.7743
(CA+RE+MI+RB+SS+TE 0.258698224852071) - RB 0.258698224852071 3.6351 1.609 Inf 2.259 0.5472
(CA+RE+MI+RB+SS+TE 0.258698224852071) - (RB+RE 0.258698224852071) 2.3351 1.794 Inf 1.301 0.9861
(CA+RE+MI+RB+SS+TE 0.258698224852071) - (RB+SS+RE 0.258698224852071) 0.2720 2.190 Inf 0.124 1.0000
(CA+RE+MI+RB+SS+TE 0.258698224852071) - RE 0.258698224852071 4.0122 1.594 Inf 2.517 0.3626
(CA+RE+MI+RB+SS+TE 0.258698224852071) - SS 0.258698224852071 0.8121 1.948 Inf 0.417 1.0000
MI 0.258698224852071 - (MI+RE 0.258698224852071) 0.4512 1.674 Inf 0.269 1.0000
MI 0.258698224852071 - RB 0.258698224852071 -0.2015 0.662 Inf -0.304 1.0000
MI 0.258698224852071 - (RB+RE 0.258698224852071) -1.5015 1.121 Inf -1.339 0.9823
MI 0.258698224852071 - (RB+SS+RE 0.258698224852071) -3.5646 1.757 Inf -2.029 0.7138
MI 0.258698224852071 - RE 0.258698224852071 0.1756 0.660 Inf 0.266 1.0000
MI 0.258698224852071 - SS 0.258698224852071 -3.0245 1.264 Inf -2.392 0.4494
(MI+RE 0.258698224852071) - RB 0.258698224852071 -0.6527 1.563 Inf -0.418 1.0000
(MI+RE 0.258698224852071) - (RB+RE 0.258698224852071) -1.9527 1.794 Inf -1.088 0.9972
(MI+RE 0.258698224852071) - (RB+SS+RE 0.258698224852071) -4.0158 2.238 Inf -1.795 0.8529
(MI+RE 0.258698224852071) - RE 0.258698224852071 -0.2756 1.560 Inf -0.177 1.0000
(MI+RE 0.258698224852071) - SS 0.258698224852071 -3.4757 1.899 Inf -1.830 0.8348
RB 0.258698224852071 - (RB+RE 0.258698224852071) -1.3001 0.942 Inf -1.380 0.9774
RB 0.258698224852071 - (RB+SS+RE 0.258698224852071) -3.3631 1.645 Inf -2.044 0.7032
RB 0.258698224852071 - RE 0.258698224852071 0.3771 0.266 Inf 1.418 0.9719
RB 0.258698224852071 - SS 0.258698224852071 -2.8231 1.112 Inf -2.539 0.3484
(RB+RE 0.258698224852071) - (RB+SS+RE 0.258698224852071) -2.0631 1.811 Inf -1.139 0.9957
(RB+RE 0.258698224852071) - RE 0.258698224852071 1.6771 0.927 Inf 1.809 0.8455
(RB+RE 0.258698224852071) - SS 0.258698224852071 -1.5230 1.440 Inf -1.058 0.9979
(RB+SS+RE 0.258698224852071) - RE 0.258698224852071 3.7402 1.626 Inf 2.301 0.5163
(RB+SS+RE 0.258698224852071) - SS 0.258698224852071 0.5401 1.981 Inf 0.273 1.0000
RE 0.258698224852071 - SS 0.258698224852071 -3.2001 1.113 Inf -2.875 0.1690
P value adjustment: tukey method for comparing a family of 13 estimates
