Question

尝试在R中使用adonis执行PERMANOVA。但是，在我的数据表和因子中添加，我不断得到样本错误 - G * t中的错误（帽子）：不一致的数组

没有N / A数据，它可以使用现成的数据矩阵和我自己的数据表的子集。

不起作用的示例数据;

subset<-matrix(c(0,0.000666667,0.001333333,0.000333333,0.000333333,0.019833333,0.007666667,0.014666667,0.0005,0.022833333,0.016833333,0.018166667,0.000666667,0.009666667,0.008833333,0.009166667,0.001333333,0.018666667,0.0295,0.031833333),ncol=4)

test_groups<-c(1,1,2,2)
adonis(subset~test_groups)

G * t（帽子）中的错误：不一致的数组

测试可行的数据;

test<-matrix(data=c(0.1,0.1,0.3,0.1,0.2,0.3,0.1,0,0.3,0.1,0.2,0.3,0.1,0.2,0.3,0.1),ncol=4)

为什么不起作用？

Answer 1

test_groups向量的长度为4，而subset的行数为5 下面我设置为5 subset的行数和adonis命令很好地工作。

library(vegan) 
subset <- matrix(c(0,0.000666667,0.001333333,0.000333333,0.000333333,0.019833333,0.007666667,0.014666667,0.0005,0.022833333,0.016833333,0.018166667,0.000666667,0.009666667,0.008833333,0.009166667,0.001333333,0.018666667,0.0295,0.031833333),ncol=5)
test_groups <- c(1,1,2,2)     
adonis(subset~test_groups)

结果如下。

'nperm' >= set of all permutations: complete enumeration.
Set of permutations < 'minperm'. Generating entire set.

Call:
adonis(formula = subset ~ test_groups) 

Permutation: free
Number of permutations: 23

Terms added sequentially (first to last)

            Df SumsOfSqs MeanSqs F.Model      R2 Pr(>F)
test_groups  1   0.22804 0.22804  1.0592 0.34624 0.3333
Residuals    2   0.43059 0.21530         0.65376       
Total        3   0.65864                 1.00000

G * t（帽子）中的错误：不一致的数组

1 个答案: