对R中的多行进行T检验 [英] T-test for multiple rows in R

问题描述

我有一个表，该表包含40多个列和200.000+行. 像这样:

I have a table with 40+ columns and 200.000+ rows. Something like this:

ID GROUP-A1 GROUP-A2 GROUP A3...A20   GROUP-B1 GROUP-B2 GROUP-B3...B20
1  5        6        3     5....3     10       21       9          15
2  3        4        6     2....13    23       42       34         23
3  5        3        1     0....12    10       12       43         15 
4  0        0        2     5....3     10       21       23         15 

我想对两组A(1..20)和B(1..20)进行一项t检验，以分别进行每项测量(每行)，它们是独立的.并且可能将结果统计信息放在每行旁边的表中或在单独的表中，因此我可以轻松地选择重要的统计信息.

I would like to run a t-test for the two groups A (1..20) and B (1..20) for every measurement I have (each row), which are independent. And possibly, have the resulting stats in the table next to each row or in a separate table, so I can easily select the significant ones.

我查看了很少的R包，但是它们大多数都需要重新格式化我拥有的表，以将度量和组放入列中，在这种情况下，我将需要200.000+个单独的表.

I looked at few R packages but they mostly would require reformatting the table I have, to put measurements and groups in columns, and I would need 200.000+ separate tables in that case.

有什么主意吗?

推荐答案

像这样吗?

apply(df,1,function(x){t.test(x[2:21],x[22:41])})

要将测试统计信息或p值保存在新列中，您可以

To save the test statistic or p-value in a new column you could do

df$st=apply(df,1,function(x){t.test(x[2:21],x[22:41])$stat})

或$p.value

这篇关于对R中的多行进行T检验的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！