我想根据某些标准删除重复项.
Animal<-c("bird","Bird ","Dog","Cat F","Lion","Lion","Lion","dog","Horse","cat", "Lion")
A_date<-c("02-08-2020","20-06-2018","01-01-2015","10-07-2021","20-06-2018","15-08-2019","05-08-2013","20-06-2010","15-11-2016","22-03-2022","15-05-2019")
ID<-c("T1", "T1","T1","T2","T2","T3","T3","T4","T4","T5","T5")
Mydata<-data.frame(Animal, A_date,col_1)
Animal A_date ID
bird 02-08-2020 T1
Bird 20-06-2018 T1
Dog 01-01-2015 T1
Cat F 10-07-2021 T2
Lion 20-06-2018 T2
Lion 15-08-2019 T3
lion 05-08-2013 T3
dog 20-06-2010 T4
Horse 15-11-2016 T4
cat 22-03-2022 T5
Lion 15-05-2019 T5
我想删除重复的行,以便只保留具有最新日期pr.ID的行.例如,在上表中,Lion以相同的ID出现了3次.所以我只想保留Lion 15-08-2019 T3
个,但我想保留ID为T5的Lion.
最终结果应该如下所示:
Animal A_date ID
Dog 01-01-2015 T1
bird 02-08-2020 T1
Dog 01-01-2015 T1
Cat F 10-07-2021 T2
Lion 15-08-2019 T3
dog 20-06-2010 T4
Horse 15-11-2016 T4
cat 22-03-2022 T5
Lion 15-05-2019 T5
我研究的数据非常大,ID从T1到T20.
library(lubridate)
library(dplyr)
Mydata <- Mydata %>%
mutate(Animal = toupper(Animal), A_date = lubridate::dmy(A_date)) %>%
arrange(A_date)
Mydata %>%
filter(!duplicated(Animal, fromLast = TRUE))
我得到的结果
Animal A_date ID
DOG <NA> T1
HORSE <NA> T4
BIRD <NA> T1
LION <NA> T3
BIRD <NA> T1
CAT F <NA> T2
CAT <NA> T5
这不是我想要的最终结果.