R-写入不带列0的文件（write.csv或write.table） [英] R - write to file without colum 0 (write.csv or write.table)

问题描述

假设我有以下数据框，命名为高表达

Suppose I have got the following data frame, named highly expressed

|    |New IDs         | Mean amast| Mean promast|Old IDs        |
|:---|:---------------|----------:|------------:|:--------------|
|44  |LdBPK_010009200 |   37.16175|     33.72800|LdBPK_010440.1 |
|46  |LdBPK_010009300 |   35.67275|     32.05529|LdBPK_010440.1 |
|83  |LdBPK_010012800 |    6.84300|     16.04800|LdBPK_010790.1 |
|84  |LdBPK_010012900 |    6.92775|     15.62371|LdBPK_010790.1 |
|93  |LdBPK_020005100 |    5.89950|     27.03371|LdBPK_210020.1 |
|300 |LdBPK_030014900 |    7.59575|     12.38143|LdBPK_030960.1 |

我现在想获取一个列表，其中仅包含旧ID下的字符串（即整个第四个列）以进行进一步的数据处理。当我编写以下命令时：

I now want to get a list containing exclusively the strings under "Old IDs" (i.e. the whole fourth column) for further data manipulation. When I write the following command:

write.table(highly_expressed$`Old IDs`, file = "test", quote = F, sep = "\t")

我的输出文件包含两列（不仅只有一列，正如我所期望的那样），如下所示：

my output file contains two columns (an not only one, as I was expecting), as shown below:

|  X|x              |
|--:|:--------------|
|  1|LdBPK_010440.1 |
|  2|LdBPK_010440.1 |
|  3|LdBPK_010790.1 |
|  4|LdBPK_010790.1 |
|  5|LdBPK_210020.1 |
|  6|LdBPK_030960.1 |

有人知道不带列0写入文件的方法吗（索引1、2、3 ，4等）？也许使用了write.csv以外的其他功能？

Does anyone know a way to write to file without the column 0 (the indices 1, 2, 3, 4 etc)? Maybe using another function other than write.csv?

推荐答案

只需添加 row.names = FALSE 放入 write.table（）。

这篇关于R-写入不带列0的文件（write.csv或write.table）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！