如何在您的工作环境中整理所有data.frame？ [英] How to rbind all the data.frames in your working environment?

问题描述

我的工作环境中有50多个data.frames，我想 rbind 。
有没有一种方法来 rbind data.frames 而不必键入每个 date.frame ？

I have over 50 data.frames in my working environment that I would like to rbind. Is there a way to rbind the data.frames with out having to type out each date.frame?

我一直在做什么的示例：

Example of what I have been doing:

df <- rbind(A, B, C, D, E, F)

我尝试过：

df <- rbind(ls())

但这只会创建我的工作环境中所有data.frames的名称列表。

But this just creates a list of names of all the data.frames in my working environment.

推荐答案

您可以搜索对于 data.frame 类的对象，并使用函数 mget 检索它们。

You can search for objects of data.frame class, and use function mget to retrieve them.

a = b = c = data.frame(x=1:2, y=3, z=1:4)
d = "junk"
e = list(poo="pah")
ls()
# [1] "a" "b" "c" "d" "e"
dfs = sapply(.GlobalEnv, is.data.frame) 
dfs
#    a     b     c     d     e 
# TRUE  TRUE  TRUE FALSE FALSE 
do.call(rbind, mget(names(dfs)[dfs]))
#     x y z
# a.1 1 3 1
# a.2 2 3 2
# a.3 1 3 3
# a.4 2 3 4
# b.1 1 3 1
# b.2 2 3 2
# b.3 1 3 3
# b.4 2 3 4
# c.1 1 3 1
# c.2 2 3 2
# c.3 1 3 3
# c.4 2 3 4 

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