删除重复的行（基于2列）中的R

Question

我有R中的数据集，看起来像这样：基于列x1和x2的值

x1 x2 x3 
1: A Away 2 
2: A Home 2 
3: B Away 2 
4: B Away 1 
5: B Home 2 
6: B Home 1 
7: C Away 1 
8: C Home 1 

，我想删除重复的行。我曾尝试以下：

df[!duplicated(df[,c('x1', 'x2')]),] 

应该删除行4和6。但不幸的是它不工作，因为它返回完全相同的数据，与副本仍然存在于数据集。我必须使用什么来移除第4行和第6行？

Answer 1

library("data.table") 
setDT(df)[, .SD[1], by = .(x1, x2)] 

#  x1 x2 x3 
# 1: A Away 2 
# 2: A Home 2 
# 3: B Away 2 
# 4: B Home 2 
# 5: C Away 1 
# 6: C Home 1 

Answer 2

，或者您可以使用dplyr库

library("dplyr") 
df <- data.frame(x1 = c("A","A","B","B","B","B","C","C"), x2 = c("Away","Home","Away","Away","Home","Home","Away","Home"), x3 = c(2,2,2,1,2,1,1,1)) 

distinct(df,x1,x2,.keep_all = TRUE) 
#  x1 x2 x3 
# 1 A Away 2 
# 2 A Home 2 
# 3 B Away 2 
# 4 B Home 2 
# 5 C Away 1 
# 6 C Home 1 

Answer 3

我只是做：

unique(df, by=c("x1", "x2")) # where df is a data.table 

This'd已经相当明显，如果你只是看着?unique。

PS：给出你Q中的语法，我想知道你是否知道data.table和data.frame之间的基本语法差异。我建议你先阅读vignettes。