将数据框行转换为字符向量时出错 [英] Error when converting dataframe row to character vector

问题描述

所以我有以下数据框datafr。

So I've got the following dataframe, datafr.

          X1            X2               X1.1          X2.1              
      Composite       Element          Composite       Element          
14-3-3_epsilon-M-C -0.8660101895 14-3-3_epsilon-M-C -0.6814387425          
4E-BP1_pS65-R-V  0.1056560215    4E-BP1_pS65-R-V  0.1787506005    
4E-BP1_pT37T46-R-V  0.6408257495 4E-BP1_pT37T46-R-V -0.7485933875 
4E-BP1_pT70-R-C  0.6413568085    4E-BP1_pT70-R-C  0.9554481415    

我想将第二行作为列名，所以我看一下行

I want to make the second row the column names, so I look at the row

datafr[1,]

一切都是应有的

        X1      X2      X1.1      X2.1   
 Composite    Element   Composite Element

但是，当我将其转换为字符向量时，我得到的单词变成了数字...

However, when I convert this to a character vector I get the words changing to numbers...

as.character(c(datafr[1,]))
[1] "49"  "161" "49"  "161" 

这是怎么回事？

推荐答案

问题是您的data.frame列不是字符而是因素（请阅读R简介的区别。）

The problem is that your data.frame columns are not characters but factors (read about the difference in the R introduction.)

您必须这样做：

as.character(unlist(datafr[1, ]))

获取当前数据的字符向量。但是，您可能想在代码上游解决问题：

to get a character vector out ot your current data. However, you might want to fix your problem upstream within your code:

您可以尝试确保data.frame首先不包含因子。通常，这是通过在 data.frame ，之类的函数中添加 stringsAsFactors = FALSE 来完成的。 as.data.frame ， read.table ， read.csv 用过它们。如果您在某处使用 read.table ，我强烈建议您也考虑使用 header = TRUE 来获取名称。首先在您想要的位置。

You could try to make sure that your data.frame does not contain factors in the first place. Most often, this is done by adding stringsAsFactors = FALSE to functions like data.frame, as.data.frame, read.table, read.csv where you might have used them. If you used read.table somewhere, I would highly suggest you also look at using header = TRUE to get the colnames where you wanted in the first place.

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