有没有办法根据as对一年内的所有值求和.日期变量

Question

将 df 作为：

ID  Status     Created_Date  Booking_Date   Price_Booking
1   Confirmed  "2013-03-01"  "2013-08-21"   400
1   Confirmed  "2013-03-01"  "2013-10-01"   350
2   Confirmed  "2013-04-11"  "2013-10-01"   299
2   Confirmed  "2013-04-11"  "2013-10-01"   178
3   Cancelled  "2013-02-21"  "2014-04-01"   99
4   Confirmed  "2013-08-30"  "2013-10-01"   525
5   Confirmed  "2014-01-01"  "2014-12-01"   439
6   Confirmed  "2015-02-22"  "2015-11-18"   200
6   Confirmed  "2015-07-13"  "2017-04-09"   100

想要根据变量计算第一年内每个客户的收入Created_Date。

我试过了：

with(df$ID[df$Status=="Confirmed" & format(as.Date(df$Created_Date), "%Y") == 2013 & format(as.Date(df$Booking_Date), "%Y") == 2013]))

然而，这只计算每个日历年的收入，我想让它相对于Created_Date

预期输出为：

ID    Sum_Price_Booking
1     750
2     477
3     NA
4     525
5     439
6     200

Answer 1

我们可以为那些在Booking_Date和Created_Date之间相差小于 1 年的值group_byID和sumPrice_Booking值。

library(dplyr)
df %>%
mutate_at(vars(ends_with("Date")), as.Date) %>%
group_by(ID) %>%
summarise(sum = sum(Price_Booking[Booking_Date - Created_Date < 365]))
#     ID   sum
#  <int> <int>
#1     1   750
#2     2   477
#3     3     0
#4     4   525
#5     5   439
#6     6   200

数据

df <- structure(list(ID = c(1L, 1L, 2L, 2L, 3L, 4L, 5L, 6L, 6L), 
Status = structure(c(2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L), 
.Label = c("Cancelled", "Confirmed"), class = "factor"), 
Created_Date = structure(c(2L, 2L, 3L, 3L, 1L, 4L, 5L, 6L, 7L), 
.Label = c("2013-02-21", "2013-03-01", "2013-04-11", "2013-08-30", "2014-01-01", 
"2015-02-22", "2015-07-13"), class = "factor"), Booking_Date = 
structure(c(1L, 2L, 2L, 2L, 3L, 2L, 4L, 5L, 6L), 
.Label = c("2013-08-21", "2013-10-01", "2014-04-01", "2014-12-01", "2015-11-18", 
"2017-04-09"), class = "factor"), Price_Booking = c(400L, 350L, 299L, 178L, 99L, 
525L, 439L,200L, 100L)), class = "data.frame", row.names = c(NA, -9L))

Answer 2

您可以使用 data.table 的方式 by = 您可以选择聚合

library(data.table)
library(lubridate)
dt <- data.table(
ID = c(1, 1, 2, 2, 3, 4, 5, 6, 6),
Status = c(
'Confirmed',
'Confirmed',
'Confirmed',
'Confirmed',
'Cancelled',
'Confirmed',
'Confirmed',
'Confirmed',
'Confirmed'
),
Created_Date = as.Date(
c(
"2013-03-01",
"2013-03-01",
"2013-04-11",
"2013-04-11",
"2013-02-21",
"2013-08-30",
"2014-01-01",
"2015-02-22",
"2015-07-13"
)
),
Booking_Date = as.Date(
c(
"2013-08-21",
"2013-10-01",
"2013-10-01",
"2013-10-01",
"2014-04-01",
"2013-10-01",
"2014-12-01",
"2015-11-18",
"2017-04-09"
)
),
Price_Booking = c(400,
350,
299,
178,
99,
525,
439,
200,
100)
)

dt[Status == 'Confirmed', .(price_sum = sum(Price_Booking)), by = .(Year = year(Created_Date), ID)]