r - 如何一次做多个 t.test()

Question

我有两个数据集。

每个数据集都有很多相同物种的列，在两个不同的场合采样。

现在我想看看物种的平均值是否彼此显着不同。我了解到我必须为此进行配对 t 检验。

我想出这样做的公式是：

 t.test(dataset1$'specie',dataset2$'specie')

Q1：我是否使用正确的函数进行配对 t 检验？

Q2：鉴于我实际上做得正确。我如何解释答案？. t= 告诉我什么？p 值低，这是否意味着物种的平均值相似或不相似？

Q3：有没有办法让 R 自动比较两个数据集中的所有相同物种，还是我必须手动进行？

Answer 1

1. t.test(dataset1$'specie', dataset2$'specie', paired=TRUE)
   Without it, it is the Welch's t test which does not sound like what you are looking for.

2. Simply put, high T mean that it is highly unlikely the two population means are similar.
   Low p values mean that they are not similar. It depends on your cutoff point but 1.096e-10 is incredibly low. If you were looking for a cutoff at 0.05, then anything above that is considered not significant.

   See the following link for more details:
   https://www.r-bloggers.com/paired-students-t-test/

3. You can make it a function or object or something.