如何在R中的一列中跨多个组进行t检验? [英] How do I make a t-test across several groups in one column in R?

问题描述

我想问你，当我有一个包含组级别的列和一个具有这样的值的列时，如何在R中执行t检验:

I'd like to kindly ask you, how to perform a t-test in R when I have a column with the group levels and a column with the values like this:

group value
north 1.1
north 1.6
north 1.4
east  1.3
east  1.5
east  1.7
south 1.2
south 1.5
south 1.8
west  1.6
west  1.7
west  1.9

获得这样的结果:

      north   east    south   west
north         p-value p-value p-value
east  p-value         p-value p-value
south p-value p-value         p-value
west  p-value p-value p-value

我在互联网上搜索了很多内容，但发现的描述仅针对两个组或不同列中的组.我无法想象，这是一个如此罕见的问题.通常，科学家必须比较两个以上的组，以查看哪些组之间存在显着差异.

I searched a lot in the internet but the descriptions that I have found were for only two groups or for groups in different columns. I can't imagine, that this is such a rare issue. It should be common that scientists have to compare more than two groups to see which groups are significantly different from each other.

感谢您的帮助和问候

推荐答案

我们可以尝试使用pairwise.t.test

pairwise.t.test(df1$value, df1$group)$p.value

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