r - 按 id 和 date 合并两个数据框

Question

我有两个数据框。
A:

id  date
1   2010-05-08
2   2012-08-08
3   2013-06-23

乙:

id  date1
1   2010-05-09
2   2012-08-08

我需要通过 id 以及表 2 中的日期 = 表 1 中的日期 +1 天来合并两个数据框。进一步标记合并为 TRUE 的行。
最终输出是
A:

id  date           date1      flag
1   2010-05-08    2010-05-09   1
2   2012-08-08       NA        NA
3   2013-06-23       NA        NA

生成数据的代码-

A <- data.frame(customer = c(1,2,3),
                application_date = c("2010-05-08", "2012-08-08", "2013-06-23"))
B <- data.frame(customer = c(1,2),
                application_date = c("2010-05-09", "2012-08-08"))

Answer 1

这个怎么样？
数据 :

A <- data.frame(customer = c(1,2,3),
                application_date = c("2010-05-08", "2012-08-08", "2013-06-23"))
B <- data.frame(customer = c(1,2),
                application_date = c("2010-05-09", "2012-08-08"))

DPLYR :

library(dplyr)

    data <- left_join(A, B, by = "customer")
    data %>% 
      mutate(logic = if_else(as.Date(data$application_date.x) + 1 == as.Date(data$application_date.y), 1, 0)) %>% 
      rename("id" = "customer",
             "date" = "application_date.x",
             "date1" = "application_date.y",
             "flag" = "logic")

输出 :

 id       date          date1         flag
 1       2010-05-08     2010-05-09    1 
 2       2012-08-08     2012-08-08    0 
 3       2013-06-23     <NA>          NA

数据表 :

library(data.table)

data_2 <- merge.data.table(A, B, by = "customer", all.x=TRUE)
data_2[, logic:= (ifelse(as.Date(data$application_date.x) + 1 == as.Date(data$application_date.y), 1, 0))]
setnames(data_2, old = c("customer", "application_date.x", "application_date.y", "logic"), 
                 new = c("id", "date", "date1", "flag"))

输出 :

 id       date          date1         flag
 1       2010-05-08     2010-05-09    1 
 2       2012-08-08     2012-08-08    0 
 3       2013-06-23     <NA>          NA