如何将R数据帧拆分为矢量（解除绑定） [英] How to split a R data frame into vectors (unbind)

问题描述

我对R还是比较陌生，并且一段时间以来一直在努力寻找解决方案。我正在尝试获取一个数据帧，并进行与rbind相反的操作，以便可以将整个数据帧（并希望保留原始数据帧）拆分为单独的向量，并使用row.names作为新数据源。变量名。

I'm relatively new to R and have been trying to find a solution to this problem for a while. I am trying to take a data frame and essentially do the reverse of rbind, so that I can split an entire data frame (and hopefully preserve the original data frame) into separate vectors, and use the row.names as the source of the new variable names.

因此，如果我有一个像这样的data.frame：

So if I have a data.frame like this:

      Col1  Col2 Col3
Row1   A     B    C
Row2   D     E    F
Row3   G     H    I

我希望最终结果是单独的向量：

I would like the end result to be separate vectors:

Row1 = A B C
Row2 = D E F
Row3 = G H I

我知道我可以对data.frame中的特定行进行子集化，但是我想要所有他们分开了。就方法论而言，我可以使用for循环将每一行移动到一个向量中，但是我不确定如何将行名分配为变量名。

I know I could subset specific rows out of the data.frame, but I want all of them separated. In terms of methodology could I use a for loop to move each row into a vector, but I wasn't exactly sure how to assign row names as variable names.

推荐答案

您可以通过 分割数据集行转换为矩阵后，将列表元素的名称（ setNames ）设置为'Row1：Row3'并使用 list2env 在全局环境中分配对象。

You can split the dataset by row after converting to matrix, set the names (setNames) of the list elements as 'Row1:Row3' and use list2env to assign the objects in the global environment.

 list2env(setNames(split(as.matrix(df),
        row(df)), paste0("Row",1:3)), envir=.GlobalEnv)

 Row1
 #[1] "A" "B" "C"
 Row2
 #[1] "D" "E" "F"

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