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我试图在每个星期五对 data.frame 上的变量求和。

随机数据框

mydf = data.frame(      "ID"   = c( rep( "A" , 6) , rep( "B" , 5 ) ),   "Date" = c( "2017-09-08","2017-09-10","2017-09-13","2017-09-15","2017-09-20","2017-09-22","2017-08-03","2017-08-04","2017-08-10","2017-08-11","2017-08-12" , "Var"  = c( 1,2,3,4,5,6,7,8,NA,10,11) )

mydf$Date = as.Date( mydf$Date )

mydf = cbind( mydf , "WeekDay" = weekdays( mydf$Date ) )

我想得到什么

df_ToGet = 
data.frame( 
    "ID"   = c( rep( "A" , 3) , rep( "B" , 2 ) ),
    "Date" = c( "2017-09-08","2017-09-15","2017-09-22","2017-08-04","2017-08-11"  ),
    "Var_Sum"  = c( 1 , 9 , 11 , 15, 10 )
    )

我试过的

我考虑过使用dplyr::summarize和aggregate但我不知道如何正确设置by条件。

mydf %>% group_by( ID ) %>% summarize( Var_Sum = aggregate( Var , sum ,  by=list ( (mydf$Weekday)=="Friday") )  )

我已经看到使用cut功能解决了一些类似的问题，但这似乎将条件设置为标准周？我还不太熟悉。

4

1 回答 1

2

我们需要使用创建一个分组变量cumsum

mydf %>%
    slice(seq_len(tail(which(WeekDay== "Friday"), 1))) %>% 
    group_by(ID, grp = lag(cumsum(WeekDay == "Friday"), default = 0)) %>% 
    summarise(Date = Date[WeekDay == "Friday"], Var = sum(Var, na.rm = TRUE)) %>%
    ungroup() %>%
    select(-grp)
# A tibble: 5 x 3
#     ID       Date   Var
#   <fctr>     <date> <dbl>
#1      A 2017-09-08     1
#2      A 2017-09-15     9
#3      A 2017-09-22    11
#4      B 2017-08-04    15
#5      B 2017-08-11    10
于 2017-10-21T05:15:52.373 回答