当列数变化时导入txt文件? [英] Importing a txt file when number of columns varies?

问题描述

我在将 .txt 文件导入 R 时遇到问题，因为数字列从八变为九.最初，我的数据有八列:

I have problems importing a .txt file into R because the number columns changes from eight to nine. Initially, my data has eight columns:

Date, Open, High, Low, Close, Volume, Open Interest, Delivery Month

稍后，我添加了一个附加列Unadjusted close.我应该如何导入数据?不知何故，必须在开始时忽略 Unadjusted close 列.我试过了

Later, I add an additional column Unadjusted close. How should I import the data? Somehow the Unadjusted close column has to be ignored at the beginning. I've tried

data1 <- read.table("AD_0.TXT", sep=",", header=TRUE)

但这不起作用.

推荐答案

您需要在 read.table 函数中使用 fill 参数.假设我有以下文件

You need to use the fill argument in the read.table function. Suppose I have the following file

"A","B","C"
1,2,3
4,5
6,7,8

称为tmp.txt.请注意，第二行只有两个值.然后

called tmp.txt. Note that row two has only two values. Then

> a = read.table("tmp.txt", sep=",", header=TRUE, fill=TRUE)
> a
  A B  C 
1 1 2  3
2 4 5 NA
3 6 7  8

您可以使用标准的子设置命令来删除(如果您愿意)任何包含 NA 的行:

You use then standard sub-setting commands to remove (if you want to), any rows that contain NA:

> a[!is.na(a$C),]
  A B  C 
1 1 2  3
3 6 7  8

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