根据应用于列的逻辑条件按行对数据帧进行子集设置 [英] Subset dataframe by rows according with logical condition applied to column

问题描述

这可能是一个微不足道的问题，但是我已经坚持了好几天，没有在先前的讨论中找到有用的帮助.

This might be a trivial question, but I´m stuck on it since days without finding useful help in previous discussions.

我有一个像这样的data.frame:

I have a data.frame like this:

pho 23 3 23 4 5 6 7 fat
pho 24 5 6 7 8 8 2 rew
pho 2 3 4 5 6 7 6 ogd
caf 23 34 5 6 78 4 tre
caf 45 56 76 6 5 5 tre
fra 3 4 5 6 2 4 rfe
fra 4 65 76 78 3 2 ytr
fra 54 6 7 8 23 5 rte

我想对data.frame进行子集化，以便仅将具有相似[1,1]元素的行保持在一起.我想将这些新的data.frames存储在一个列表中，其中每个元素分别称为每个data.frame的[1,1]对象.

I would like to subset the data.frame in order to keep together only the rows which have similar [1,1] element. I would like to store these new data.frames in a list, where each element is called as the respective [1,1] object of each data.frame.

示例输出

[[pho]]
pho 23 3 23 4 5 6 7 fat
pho 24 5 6 7 8 8 2 rew
pho 2 3 4 5 6 7 6 ogd

[[caf]]
caf 23 34 5 6 78 4 tre
caf 45 56 76 6 5 5 tre

[[fra]]
fra 3 4 5 6 2 4 rfe
fra 4 65 76 78 3 2 ytr
fra 54 6 7 8 23 5 rte

我想这样做是为了将函数应用于列表中的所有data.frames，而仅考虑某些列中的值.

I would like to do this in order to apply a function to all the data.frames in the list considering only the values in some columns.

例如:

lapply(list.containing.dataframes, FUN)

我在其他问题上没有找到任何帮助，老实说，我没有取得任何值得报告的进展. 如果您能提供我可以用来解决问题的链接/手册/建议，我将不胜感激.

I did not find any help in other questions, and to be honest I did not achieve any progress worthed to be reported. I would really appreciate if you could provide link/manuals/suggestions I could use to solve my problem.

谢谢

推荐答案

只需拆分数据框:

dflist <- split(df, df[,1])

创建单独的数据帧:

list2env(split(df, df[,1]), envir = .GlobalEnv)

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