既然你共享只有一行數據,我不能確定電子郵件主題行from_Subject
的格局。如果它是一個自動發送電子郵件系統,那麼電子郵件主題行from_Subject
有固定模式。我提供了3種方法從from_Subject
中提取Patient_ID
。
library(dplyr)
df1 <- data_frame(from_Email = "[email protected]",
Time_IN = "1/11/2000 12:00:00",
from_Subject = "Patient H2445JFLD presented into ER with .... symptoms")
df2 <- data_frame(Hospital_Name = "Hospital ABC",
Patient_ID = "H2445JFLD")
# Extract 2nd word from the subject line
df1 <- df1 %>% mutate(Patient_ID = stringr::word(from_Subject, 2))
# Extract the word after "Patient" from the subject line
df1 <- df1 %>% mutate(Patient_ID = str_extract(df1$from_Subject, '(?<=Patient\\s)\\w+'))
# Extract a word of length 9 that has characters A-Z and 0-9 from the subject line
df1 <- df1 %>% mutate(Patient_ID = str_extract(df1$from_Subject, '\\b[A-Z0-9]{9}\\b'))
一旦您已經提取Patient_ID
,那麼它是一個簡單的左加入是你需要做的。
left_join(df1, df2, on="Patient_ID")
#Joining, by = "Patient_ID"
# A tibble: 1 × 5
# from_Email Time_IN from_Subject Patient_ID Hospital_Name
# <chr> <chr> <chr> <chr> <chr>
#1 [email protected] 1/11/2000 12:00:00 Patient H2445JFLD presented into ER with .... symptoms H2445JFLD Hospital ABC
「不幸的是,我無法提供對數據的訪問。」不,但是您可以提供幾行**示例**數據,這些數據實際上反映了您將收到的數據類型,而實際上並不屬於數據集的一部分。例如,如果數據是追蹤大學生的成績(也受法律保護),那麼您可以提供描述約翰Q.納稅人和Jane Doe學業記錄的記錄。你也可以提供一個[mcve]來說明你已經嘗試了什麼,以及爲什麼這不起作用。 –