2つのデータフレームと2つのids列があり、df1のid1がdf2で利用可能かどうかを検証したいid2複製する新しい列が存在するが、コードが機能しない何が間違っているのか.. ??
また、検証する列名を指定するための入力パラメーターをユーザーに提供しています
df1 <- data.frame(ID1= c("EMT1","EMT2","EMT3","EMT4","EMT5","EMT6","EMT7","EMT8","EMT9","EMT10","EMT11","EMT12","EMT13","EMT14","EMT15","EMT16","EMT17","EMT18","EMT19","EMT20","EMT21","EMT22","EMT23","EMT24","EMT25","EMT25","EMT27"))
df2 <- data.frame(ID2= c("EMT10","EMT10","EMT10","EMT8","EMT8","EMT8","EMT6","EMT10","EMT6","","EMT6","EMT6","EMT5","EMT5","EMT5","EMT5","EMT5","EMT5","EMT5","EMT4","EMT4","EMT4","EMT4","EMT23","EMT32","EMT241","EMT51"))
empid_new = "ID1"
empid_old = "ID2"
uniqu_emp <- df2 %>% select(empid_old) %>% distinct()
df1 <- df1 %>% mutate(`dupe id` = ifelse((df1[[empid_new]] %in% uniqu_emp)== TRUE, "duplicate exist",""))
を使用しているのでdplyr、でデータフレームを参照できます.data。
distinct%in%ベクトルが必要な場合と比較するためのデータフレームを返します。
library(dplyr)
uniqu_emp <- df2 %>% distinct(.data[[empid_old]]) %>% pull()
df1 %>%
mutate(`dupe id` = ifelse(.data[[empid_new]] %in% uniqu_emp,
"duplicate exist",""))
# ID1 dupe id
#1 EMT1
#2 EMT2
#3 EMT3
#4 EMT4 duplicate exist
#5 EMT5 duplicate exist
#6 EMT6 duplicate exist
#7 EMT7
#8 EMT8 duplicate exist
#9 EMT9
#10 EMT10 duplicate exist
#11 EMT11
#12 EMT12
#....
#....
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