欧美bbbwbbbw肥妇,免费乱码人妻系列日韩,一级黄片

R語(yǔ)言數(shù)據(jù)框合并(merge)的幾種方式小結(jié)

 更新時(shí)間:2021年03月12日 11:20:12   作者:余醉 | dtminer  
這篇文章主要介紹了R語(yǔ)言數(shù)據(jù)框合并(merge)的幾種方式小結(jié),文中通過示例代碼介紹的非常詳細(xì),對(duì)大家的學(xué)習(xí)或者工作具有一定的參考學(xué)習(xí)價(jià)值,需要的朋友們下面隨著小編來(lái)一起學(xué)習(xí)學(xué)習(xí)吧

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

數(shù)據(jù)

> 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

到此這篇關(guān)于R語(yǔ)言數(shù)據(jù)框合并(merge)的幾種方式小結(jié)的文章就介紹到這了,更多相關(guān)R語(yǔ)言數(shù)據(jù)框合并內(nèi)容請(qǐng)搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家!

相關(guān)文章

最新評(píng)論