我是靠谱客的博主 魔幻发带,最近开发中收集的这篇文章主要介绍R语言数据框合并(merge)的几种方式小结,觉得挺不错的,现在分享给大家,希望可以做个参考。

概述

merge data frames (inner, outer, left, right)

数据

> df1 = data.frame(CustomerId = c(1:6), Product = c(rep("Toaster", 3), rep("Radio", 3))) 
> df1  
> CustomerId  Product
1     1  Toaster
2     2  Toaster
3     3  Toaster
4     4  Radio
5     5  Radio
6     6  Radio

> df2 = data.frame(CustomerId = c(2, 4, 6), State = c(rep("Alabama", 2), rep("Ohio", 1)))
> df   
> CustomerId  State
1     2  Alabama
2     4  Alabama
3     6  Ohio 

inner

 > merge(x = df1, y = df2, by = "CustomerId", all = TRUE)     
 > CustomerId Product  State
 1     1 Toaster  <NA>
 2     2 Toaster  Alabama
 3     3 Toaster  <NA>
 4     4 Radio   Alabama
 5     5 Radio   <NA>
 6     6 Radio   Ohio

left

> merge(x = df1, y = df2, by = "CustomerId", all.x = TRUE)
> CustomerId Product  State      
1     1 Toaster  <NA>
2     2 Toaster  Alabama
3     3 Toaster  <NA>
4     4 Radio   Alabama
5     5 Radio   <NA>
6     6 Radio   Ohio

right

> merge(x = df1, y = df2, by = "CustomerId", all.y = TRUE) 
> CustomerId Product  State
1     2 Toaster  Alabama
2     4 Radio   Alabama
3     6 Radio   Ohio

outer

> merge(x = df1, y = df2, by = NULL)
> CustomerId.x Product CustomerId.y  State
1      1 Toaster      2  Alabama
2      2 Toaster      2  Alabama
3      3 Toaster      2  Alabama
4      4 Radio       2  Alabama
5      5 Radio       2  Alabama
6      6 Radio       2  Alabama
7      1 Toaster      4  Alabama
8      2 Toaster      4  Alabama
9      3 Toaster      4  Alabama
10      4 Radio       4  Alabama
11      5 Radio       4  Alabama
12      6 Radio       4  Alabama
13      1 Toaster      6  Ohio
14      2 Toaster      6  Ohio
15      3 Toaster      6  Ohio
16      4 Radio       6  Ohio
17      5 Radio       6  Ohio
18      6 Radio       6  Ohio

到此这篇关于R语言数据框合并(merge)的几种方式小结的文章就介绍到这了,更多相关R语言数据框合并内容请搜索靠谱客以前的文章或继续浏览下面的相关文章希望大家以后多多支持靠谱客!

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