根据通用列在R中组合两个数据框 [英] combine two dataframes in R based on common columns

问题描述

我必须合并两个看起来像这样的数据帧 我想将数据框之间的通用列合并在一起. 两个数据帧中的行将完全不同.

I have to combine two data-frames which look like this I want to take the common column among the data-frames and join them together. Rows in two data-frames will be completely different.

      a  b c 
row1  1  0 1      
row2  1  0 1

另一个数据框

     d a c f
row3 1 0 1 1
row4 1 1 0 0 

我希望最终的数据集看起来像这样

I want the final dataset to look like this

        a c 
row1    1 1
row2    1 1
row3    0 1
row4    1 0

这是来自两个数据帧的输出

Here is the dput from two dataframes

dput(x1)
structure(list(d = c(1L, 1L), a = 0:1, c = c(1L, 0L), f = c(1L, 
0L)), .Names = c("d", "a", "c", "f"), row.names = c("row3", "row4"
), class = "data.frame")

dput(x2)
structure(list(a = c(1L, 1L), b = c(0L, 0L), c = c(1L, 1L)), .Names = c("a", 
"b", "c"), row.names = c("row1", "row2"), class = "data.frame")

推荐答案

您可以获取通用名称，然后使用行绑定:

You could get the common names and then use row bind:

common <- intersect(names(x1), names(x2))
rbind(x1[,common], x2[,common])
     a c
row3 0 1
row4 1 0
row1 1 1
row2 1 1

匹配您的预期输出

 rbind(x2[,common], x1[,common])
     a c
row1 1 1
row2 1 1
row3 0 1
row4 1 0

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