如何使用循环从巨大的数据框架创建多个数据帧？ [英] How to create multiple data frames from a huge data frame using a loop?

问题描述

我有一个非常大的数据框架：

I have a very large data frame:

ID    A   B   C   D   E ...
1     34  56  67  98  23 ... 
2     23  67  99  45  73 ...
3     3   15  56  100 29 ...
...   ... ... ... ... ...

我已经创建了几个函数来处理两列数据帧。我想使用（一个列表）来编写一个循环，通过总是包含ID列来生成大数据帧。例如：

I have created several functions to process a two-column data frame. I would like to write a loop using (a list?) to generate such data frames from the large one by always incorporating the ID column. For example:

ID    A    ID   B   ID  C

然后很容易将临时数据框传递给函数。

Then it would be easy to pass the temporary data frames to the functions.

谢谢！

 解决方案 

推荐答案

c> lapply（colnames（veryVeryVERYLargeDF）[2：ncol（veryVeryVERYLargeDF）]，function（nameOFColumnInveryVeryVERYLargeDF）cbind（veryVeryVERYLargeDF $ ID，veryVeryVERYLargeDF [，nameOFColumnInveryVeryVERYLargeDF]））

lapply(colnames(veryVeryVERYLargeDF)[2:ncol(veryVeryVERYLargeDF)], function(nameOFColumnInveryVeryVERYLargeDF) cbind(veryVeryVERYLargeDF$ID, veryVeryVERYLargeDF[,nameOFColumnInveryVeryVERYLargeDF]))

，这将给你一些someMallerDF的列表，其中someSmallerDF只是来自veryVeryVERYLargeDF的ID列，而来自veryVeryVERYLargeDF的其他列之一

that will give you a list of somewhatSmallerDFs, where each somewhatSmallerDF is simply the ID column from veryVeryVERYLargeDF and one of the other columns from veryVeryVERYLargeDF

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