将多个数据帧存储到一个数据结构中 [英] Storing multiple data frames into one data structure - R

问题描述

是否有可能将多个数据帧存储到一个数据结构中，并在每个数据帧之后进行处理？例如

Is it possible to have multiple data frames to be stored into one data structure and process it later by each data frame? i.e. example

df1 <- data.frame(c(1,2,3), c(4,5,6))
df2 <- data.frame(c(11,22,33), c(44,55,66))

..然后我希望将它们添加到数据结构中，以便我可以循环访问每个数据帧的数据结构，并一次处理它， / p>

.. then I would like to have them added in a data structure, such that I can loop through that data structure retrieving each data frame one at a time and process it, something like

 for ( iterate through the data structure) # this gives df1, then df2
 {
    write data frame to a file
}

我找不到任何这样的数据结构。任何人都可以指出我给任何说明相同功能的代码？

I cannot find any such data structure in R. Can anyone point me to any code that illustrates the same functionality?

推荐答案

只要把 data.frames 在列表中。一个加号是，列表与应用样式循环非常相似。例如，如果要保存data.frame，可以使用 mapply ：

Just put the data.frames in a list. A plus is that a list works really well with apply style loops. For example, if you want to save the data.frame's, you can use mapply:

l = list(df1, df2)
mapply(write.table, x = l, file = c("df1.txt", "df2.txt"))

如果你喜欢应用样式循环（你会相信我： ））请看看史诗般的 plyr 包。它可能不是最快的包（快速查找 data.table ），但它会与语法糖滴下。

If you like apply style loops (and you will, trust me :)) please take a look at the epic plyr package. It might not be the fastest package (look data.table for fast), but it drips with syntactic sugar.

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