r - phyloSignal 包的格式化问题

Question

我正在尝试分析与血细胞比容（一种生理特征）的遗传力有关的系统发育信号，但我在该过程的最后一步遇到了问题。基本上，我已经将系统发育树（amphtree）与对象（p4d）融合data (amphdata)在一起phylo4d。但是，当我尝试运行该函数时，phyloSignal()我收到一条错误消息：

f(arg, ...) 中的错误：与请求的类型不兼容：[type=character; 目标=双]。

这是代码：

p4d <- phylo4d(amphtree, amphdata)
phyloSignal(p4d, methods = "Lambda", reps=999)

供参考的对象如下所示：

                          label node ancestor edge.length node.type                      Species       Hct
1  Cryptobranchus_alleganiensis    1       30  162.714627       tip   Batrachuperus yenyuanensis 0.3049255
2    Batrachuperus_yenyuanensis    2       30  162.714598       tip              Bombina bombina 0.1937037
3            Pseudotriton_ruber    3       33   13.056026       tip                    Bufo bufo 0.3494179
4         Pseudotriton_montanus    4       33   13.056026       tip              Bufotes viridis 0.4765116
5    Gyrinophilus_porphyriticus    5       32   19.306586       tip Cryptobranchus alleganiensis 0.3705314
6             Plethodon_jordani    6       35   14.461405       tip       Desmognathus monticola 0.2250000
7          Plethodon_glutinosus    7       35   14.461407       tip     Desmognathus ochrophaeus 0.2340000
8  Desmognathus_quadramaculatus    8       36   24.506631       tip Desmognathus quadramaculatus 0.2360000
9      Desmognathus_ochrophaeus    9       37   19.114006       tip   Duttaphrynus melanostictus 0.3972312
10       Desmognathus_monticola   10       37   19.114010       tip   Gyrinophilus porphyriticus 0.2330000
11        Pelophylax_ridibundus   11       43   61.867042       tip     Hoplobatrachus rugulosus 0.2798000
12             Rana_catesbeiana   12       45   30.844303       tip                 Hyla arborea 0.4907000
13               Rana_vaillanti   13       45   30.844306       tip        Leptodactylus latrans 0.2060000
14               Rana_dalmatina   14       46   14.323574       tip      Lithobates catesbeianus 0.3109000
15             Rana_macrocnemis   15       46   14.323572       tip         Lithobates vaillanti 0.2200000
16     Hoplobatrachus_rugulosus   16       42  102.767888       tip   Osteopilus septentrionalis 0.2240000
17        Leptodactylus_latrans   17       48   86.590591       tip           Pelobates syriacus 0.3942857
18              Bufotes_viridis   18       51   30.803038       tip        Pelophylax ridibundus 0.3151769
19   Duttaphrynus_melanostictus   19       51   30.803039       tip         Plethodon glutinosus 0.2310000
20                    Bufo_bufo   20       50   34.253520       tip            Plethodon jordani 0.2280250
21         Rhinella_fernandezae   21       52   29.319878       tip        Pseudotriton montanus 0.2460000
22           Rhinella_spinulosa   22       52   29.319879       tip           Pseudotriton ruber 0.2570000
23                 Hyla_arborea   23       53   68.615794       tip               Rana dalmatina 0.3305000
24   Osteopilus_septentrionalis   24       53   68.615795       tip             Rana macrocnemis 0.3275000
25           Pelobates_syriacus   25       40  188.800107       tip         Rhinella fernandezae 0.2737000
26               Xenopus_laevis   26       39  201.679566       tip           Rhinella spinulosa 0.3418471
27              Bombina_bombina   27       38  202.723791       tip               Xenopus laevis 0.4120000
28                         <NA>   28        0          NA      root                         <NA>        NA
29                         <NA>   29       28   87.722816  internal                         <NA>        NA
30                         <NA>   30       29   21.137799  internal                         <NA>        NA
31                         <NA>   31       29  100.319499  internal                         <NA>        NA
32                         <NA>   32       31   64.226325  internal                         <NA>        NA
33                         <NA>   33       32    6.250558  internal                         <NA>        NA
34                         <NA>   34       31   23.589476  internal                         <NA>        NA
35                         <NA>   35       34   45.481997  internal                         <NA>        NA
36                         <NA>   36       34   35.436775  internal                         <NA>        NA
37                         <NA>   37       36    5.392622  internal                         <NA>        NA
38                         <NA>   38       28   68.851399  internal                         <NA>        NA
39                         <NA>   39       38    1.044239  internal                         <NA>        NA
40                         <NA>   40       39   12.879443  internal                         <NA>        NA
41                         <NA>   41       40   36.193105  internal                         <NA>        NA
42                         <NA>   42       41   49.839130  internal                         <NA>        NA
43                         <NA>   43       42   40.900854  internal                         <NA>        NA
44                         <NA>   44       43   27.652261  internal                         <NA>        NA
45                         <NA>   45       44    3.370466  internal                         <NA>        NA
46                         <NA>   46       44   19.891196  internal                         <NA>        NA
47                         <NA>   47       41   59.271780  internal                         <NA>        NA
48                         <NA>   48       47    6.744614  internal                         <NA>        NA
49                         <NA>   49       48   47.656139  internal                         <NA>        NA
50                         <NA>   50       49    4.680933  internal                         <NA>        NA
51                         <NA>   51       50    3.450483  internal                         <NA>        NA
52                         <NA>   52       49    9.614573  internal                         <NA>        NA
53                         <NA>   53       47   24.719414  internal                         <NA>        NA

任何建议表示赞赏！另外，如果有人知道更好的方法，请随时告诉我

标签： rdataframephylogenyape-phylo