我拥有的内容:
我有两个数据帧可供使用。那些是:
> print(myDF_2003)
A_score country B_score
1 200 Germany 11
2 150 Italy 9
3 0 Sweden 0
和
> print(myDF_2005)
A_score country B_score
1 -300 France 16
2 100 Germany 12
3 200 Italy 15
4 40 Spain 17
它们由以下代码生成,我不想更改:
#_________2003______________
myDF_2003=data.frame(c(200,150,0),c("Germany", "Italy", "Sweden"), c(11,9,0))
colnames(myDF_2003)=c("A_score","country", "B_score")
myDF_2003$country=as.character(myDF_2003$country)
myDF_2003$country=factor(myDF_2003$country, levels=unique(myDF_2003$country))
myDF_2003$A_score=as.numeric(as.character(myDF_2003$A_score))
myDF_2003$B_score=as.numeric(as.character(myDF_2003$B_score))
#_________2005______________
myDF_2005=data.frame(c(-300,100,200,40),c("France","Germany", "Italy", "Spain"), c(16,12,15,17))
colnames(myDF_2005)=c("A_score","country", "B_score")
myDF_2005$country=as.character(myDF_2005$country)
myDF_2005$country=factor(myDF_2005$country, levels=unique(myDF_2005$country))
myDF_2005$A_score=as.numeric(as.character(myDF_2005$A_score))
myDF_2005$B_score=as.numeric(as.character(myDF_2005$B_score))
我想要的是什么:
我想将另一列粘贴到myDF_2005
,该列与之前两个数据框中存在的国家/地区的B_Scores不同。换句话说:我想产生这个输出:
> print(myDF_2005_2003_Diff)
A_score country B_score B_score_Diff
1 -300 France 16
2 100 Germany 12 1
3 200 Italy 15 6
4 40 Spain 17
问题: 这是最优雅的代码是什么?
答案 0 :(得分:3)
# join in a temporary dataframe
temp <- merge(myDF_2005, myDF_2003, by = "country", all.x = T)
# calculate the difference and assign a new column
myDF_2005$B_score_Diff <- temp$B_score.x - temp$B_score.y
答案 1 :(得分:1)
使用dplyr的解决方案。我们的想法是合并两个数据框,然后计算差异。
library(dplyr)
myDF_2005_2 <- myDF_2005 %>%
left_join(myDF_2003 %>% select(-A_score), by = "country") %>%
mutate(B_score_Diff = B_score.x - B_score.y) %>%
select(-B_score.y) %>%
rename(B_score = B_score.x)
myDF_2005_2
# A_score country B_score B_score_Diff
# 1 -300 France 16 NA
# 2 100 Germany 12 1
# 3 200 Italy 15 6
# 4 40 Spain 17 NA