r里面如何实现两列数据合并为一列

  1. library(dplyr)
  2. unite(mtcars, "vs_am", vs, am)

Merging Data

Adding Columns

To merge two data frames (datasets) horizontally,  use the merge function. In most cases, you join two data frames  by one or more common key variables (i.e., an inner join).

# merge two data frames by ID  

total <- merge(data frameA,data frameB,by="ID") #by指定的列中的值必须是唯一的,不能重复出现两行有相同的ID

# merge two data frames by ID and Country  

total <- merge(data frameA,data frameB,by=c("ID","Country")) #by指定的列中的值必须是唯一的,不能重复出现两行有相同的ID

 

Inner join: merge(df1, df2) will work for these examples because R automatically joins the frames by common variable names, but you would most likely want to specify merge(df1, df2, by="CustomerId") to make sure that you were matching on only the fields you desired.  You can also use the by.x and by.y parameters if the matching variables have different names in the different data frames.

Outer join: merge(x = df1, y = df2, by = "CustomerId", all = TRUE) #by指定的列中的值必须是唯一的,不能重复出现两行有相同的ID

Left outer: merge(x = df1, y = df2, by = "CustomerId", all.x=TRUE) #by指定的列中的值必须是唯一的,不能重复出现两行有相同的ID

Right outer: merge(x = df1, y = df2, by = "CustomerId", all.y=TRUE) #by指定的列中的值必须是唯一的,不能重复出现两行有相同的ID

Cross join: merge(x = df1, y = df2, by = NULL) #by指定的列中的值必须是唯一的,不能重复出现两行有相同的ID

 

 

#########################

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

> df1  

CustomerId Product

1          1 Toaster

2          2 Toaster

3          3 Toaster

4          4   Radio

5          5   Radio

6          6   Radio

> df2  

CustomerId   State

1          2 Alabama

2          4 Alabama

3          6    Ohio

> merge(df1, df2, 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

> merge(df1, df2, 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

> merge(df1, df2, all.y=TRUE)  

CustomerId Product   State

1          2 Toaster Alabama

2          4   Radio Alabama

3          6   Radio    Ohio

#####################################

 

 

 

 

REF:

http://stat.ethz.ch/R-manual/R-devel/library/base/html/merge.html

http://www.statmethods.net/management/merging.html

http://stackoverflow.com/questions/1299871/how-to-join-data-frames-in-r-inner-outer-left-right

http://blog.sciencenet.cn/blog-508298-652589.html

 
分类: [31]R
posted @   holy_black_cat  阅读(12896)  评论(0编辑  收藏  举报
编辑推荐:
· 10年+ .NET Coder 心语,封装的思维:从隐藏、稳定开始理解其本质意义
· .NET Core 中如何实现缓存的预热?
· 从 HTTP 原因短语缺失研究 HTTP/2 和 HTTP/3 的设计差异
· AI与.NET技术实操系列:向量存储与相似性搜索在 .NET 中的实现
· 基于Microsoft.Extensions.AI核心库实现RAG应用
阅读排行:
· 10年+ .NET Coder 心语 ── 封装的思维:从隐藏、稳定开始理解其本质意义
· 地球OL攻略 —— 某应届生求职总结
· 提示词工程——AI应用必不可少的技术
· Open-Sora 2.0 重磅开源!
· 周边上新:园子的第一款马克杯温暖上架
点击右上角即可分享
微信分享提示