我是R新手,这是我的第一个stackoverflow问题!
我有以下数据帧,我想创建一个函数,该函数接受tbl_1中的“ DocDate”,确定tbl_2与tbl_2之间的间隔,并在新列中分配tbl_2中的“ Period_Ending”值。
library(tidyverse)
library(lubridate)
tbl_1 <- data.frame(DocDate = as.Date(c("2017-01-03", "2017-02-07", "2017-03-04")),
State1 = c("RI", "CT", "GA"),
MD = c(78, 115, 127),
OD = c(150, 220, 235))
tbl_1
DocDate State1 MD OD
1 2017-01-03 RI 78 150
2 2017-02-07 CT 115 220
3 2017-03-04 GA 127 235
tbl_2 <- data.frame(begin = as.Date(c("2017-01-01", "2017-01-29", "2017-02-26")),
Period_Ending = as.Date(c("2017-01-29", "2017-02-26", "2017-03-26")))
tbl_2 <- tbl_2 %>%
mutate(date_interval = as.interval(x = weeks(4), start = (tbl_2$Period_Ending)))
tbl_2
begin Period_Ending date_interval
1 2017-01-01 2017-01-29 2017-01-29 UTC--2017-02-26 UTC
2 2017-01-29 2017-02-26 2017-02-26 UTC--2017-03-26 UTC
3 2017-02-26 2017-03-26 2017-03-26 UTC--2017-04-23 UTC
期望的结果是一个看起来像这样的表:
DocDate State1 MD OD Period_Ending
1 2017-01-03 RI 78 150 2017-01-29
2 2017-02-07 CT 115 220 2017-02-26
3 2017-03-04 GA 127 235 2017-03-26
我有能力使用case_when这样的语句手动执行此操作
mutate(Period_Ending = case_when(
(DocDate > ymd("2017-01-01")) & (DocDate < ymd("2017-01-29")) ~ ymd("2017-01-29"),
(DocDate > ymd("2017-01-29")) & (DocDate < ymd("2017-02-26")) ~ ymd("2017-02-26"),
(DocDate > ymd("2017-02-26")) & (DocDate < ymd("2017-03-26")) ~ ymd("2017-03-26")
,但是我希望找到一个自动化的解决方案,非常感谢您能提供的任何帮助!
library(tidyverse)
# example data
tbl_1 <- data.frame(DocDate = as.Date(c("2017-01-03", "2017-02-07", "2017-03-04")),
State1 = c("RI", "CT", "GA"),
MD = c(78, 115, 127),
OD = c(150, 220, 235))
tbl_2 <- data.frame(begin = as.Date(c("2017-01-01", "2017-01-29", "2017-02-26")),
Period_Ending = as.Date(c("2017-01-29", "2017-02-26", "2017-03-26")))
tbl_2 %>%
mutate(date = map2(begin, Period_Ending , ~seq(.x, .y, "day"))) %>%
unnest(date) %>%
inner_join(tbl_1, by=c("date" = "DocDate")) %>%
select(DocDate = date, State1, MD, OD, Period_Ending)
# # A tibble: 3 x 5
# DocDate State1 MD OD Period_Ending
# <date> <fct> <dbl> <dbl> <date>
# 1 2017-01-03 RI 78 150 2017-01-29
# 2 2017-02-07 CT 115 220 2017-02-26
# 3 2017-03-04 GA 127 235 2017-03-26