Question

我想通过输入1进行映射并将列添加到输入2，以便获得如下所示的Desired Outcome。我可以看到如何在最后一位代码中实现我想要的单行Input 1，但是无法遍历Input 1的所有行。有没有办法用{{1}来实现它}？

purrr

试过这种方法：

library(tidyverse)
library(lubridate)

# Input 1

fc_periods <- data_frame(
  period = c("m1", "m2", "m3"),
  start = c(ymd("2018-01-01"), ymd("2018-02-01"), ymd("2018-03-01")),
  end = c(ymd("2018-01-31"), ymd("2018-02-28"), ymd("2018-03-31")),
  interval = interval(start, end)
)

# Input 2

unspread_data <- data_frame(
  act_start = c(ymd("2017-11-01"), ymd("2018-01-10"), ymd("2018-02-14"), ymd("2017-12-01")),
  act_end = c(ymd("2018-04-30"), ymd("2018-01-25"), ymd("2018-03-16"), ymd("2017-12-31")),
  value = c(600, 100, 200, 999)
)

# Desired outcome

spread_data <- data_frame(
  act_start = c(ymd("2017-11-01"), ymd("2018-01-10"), ymd("2018-02-14"), ymd("2017-12-01")),
  act_end = c(ymd("2018-04-30"), ymd("2018-01-25"), ymd("2018-03-16"), ymd("2017-12-31")),
  value = c(600, 100, 200, 999),
  M1 = c(100, 100, 0, 0),
  M2 = c(100, 0, 100, 0),
  M3 = c(100, 0, 100, 0)
)

# If dealing with a single period, e.g. M1, then could do this:

start <- ymd("2018-01-01")
end <- ymd("2018-01-31")
interval <- interval(start, end)

spread_data <- unspread_data %>% 
   mutate(
         overlap1 = if_else(act_start %within% interval & act_end %within% interval, as.numeric(act_end - act_start), 0),
         overlap2 = if_else(act_start %within% interval, as.numeric(end - act_start), 0),
         overlap3 = if_else(act_end %within% interval, as.numeric(act_end - start), 0),
         overlap4 = if_else(act_start < start & act_end > end, as.numeric(end - start), 0),
         days = as.numeric(act_end - act_start),
         overlap = if_else(overlap1 > 0, overlap1, 
                              if_else(overlap2 > 0, overlap2, 
                                      if_else(overlap3 > 0, overlap3, 
                                              if_else(overlap4 > 0, overlap4, 0)))),
         fraction = if_else(days > 0, overlap / days, 0),
         M1 = fraction * value
   )

出现此错误：

spread_data <- fc_periods %>% pmap_df(function(period, start, end, interval){
  unspread_data %>% 
    mutate(
      overlap1 = if_else(act_start %within% interval & act_end %within% interval, as.numeric(act_end - act_start), 0),
      overlap2 = if_else(act_start %within% interval, as.numeric(end - act_start), 0),
      overlap3 = if_else(act_end %within% interval, as.numeric(act_end - start), 0),
      overlap4 = if_else(act_start < start & act_end > end, as.numeric(end - start), 0),
      days = as.numeric(act_end - act_start),
      overlap = if_else(overlap1 > 0, overlap1,
                      if_else(overlap2 > 0, overlap2,
                              if_else(overlap3 > 0, overlap3,
                                      if_else(overlap4 > 0, overlap4, 0)))),
      fraction = if_else(days > 0, overlap / days, 0),
      period = fraction * value
  )
})

Answer 1

这很有效。似乎问题是尝试在int height; int width; double left; double top; private void MainWindow_SizeChanged { height = this.Height; width = this.Widthl left = this.Left; top = this.Top; } private void ShowMainWindow(object sender, EventArgs e) { this.Height = height; this.Width = width; this.Left = left; this.Top = top; }内的函数中使用%within%或interval（不确定哪个是问题）。仅使用开始日期和结束日期就可以解决问题。

pmap

基于两组日期传播值

1 个答案: