嘗試將函數rowwise應用於數據框以創建新列

Question

我有一個服務預訂的數據框。 每個預訂都有合同開始和結束日期。 對於給定的報告日期，我想確定合同是否有效，如果是，則根據月度結算率計算多少。 如果合同在月中結束，我會對最后一個月的結算進行評級。 這是數據幀：

> bookings
     Account Service  MonthlyRate ContractStart ContractEnd
     1 A       W              50 2018-01-01    2018-12-31 
     2 A       X              75 2018-03-15    2019-03-14 
     3 B       W              60 2018-02-28    2018-09-30 
     4 B       X              90 2018-05-12    2019-08-11 
     5 B       Y              45 2018-02-28    2018-09-30 
     6 C       Y              50 2018-07-31    2019-04-30 
     7 D       W              65 2019-01-01    2019-03-31 
     8 D       Y              50 2018-09-01    2019-05-31 
     9 D       Z             110 2018-08-22    2019-12-31 
    10 E       Z             100 2018-10-01    2019-09-30 

我已經使用lubridate編寫了一個函數來計算月度結算。

    monthly_revenue <- function(reporting_date, monthly_rate, start, end) {
      contract_int <- interval(start, end) # Contract interval
      # Calculate interval ending the last day of the month of contract end
      end_of_month <- end
      day(end_of_month) <- days_in_month(end)
      end_of_month_int <- interval(start, end_of_month)
      # Check if reporting date is within contract interval
      if(reporting_date %within% contract_int) {
        val <- 1 # bill for entire month
        # If not within interval, check if contract is in its last month
      } else if (reporting_date %within% end_of_month_int) {
        val <- day(end) / days_in_month(end) # prorate monthly charges
      } else { # Not within contract
        val <- 0 # zero revenue
      }
      val * monthly_rate
    }

然后我設置開票日期並將函數rowwise應用於數據框：

    billing_date <- as.Date("2019-03-29")
    revenue_for_month <-bookings %>%
      rowwise() %>%
      mutate(Revenue = monthly_revenue(billing_date, MonthlyRate, ContractStart, ContractEnd))

這導致以下錯誤：

   Error in mutate_impl(.data, dots) : 
      Evaluation error: non-numeric argument to binary operator.

我不知道問題是我的功能還是我的迭代。 任何幫助將是真誠的感謝。

[根據收到的評論進行跟進]我正在使用以下庫調用：

library(tidyverse)
library(lubridate)

這是我的數據幀的輸出輸出：

> dput(bookings)
structure(list(Account = c("A", "A", "B", "B", "B", "C", "D", 
"D", "D", "E"), Type = c("W", "X", "W", "X", "Y", "Y", "W", "Y", 
"Z", "Z"), MonthlyRate = c(50L, 75L, 60L, 90L, 45L, 50L, 65L, 
50L, 110L, 100L), ContractStart = structure(c(NA_real_, NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
NA_real_), class = "Date"), ContractEnd = structure(c(NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_), class = "Date")), .Names = c("Account", 
"Type", "MonthlyRate", "ContractStart", "ContractEnd"), row.names = c(NA, 
-10L), spec = structure(list(cols = structure(list(Account = structure(list(), class = c("collector_character", 
"collector")), Type = structure(list(), class = c("collector_character", 
"collector")), MonthlyRate = structure(list(), class = c("collector_integer", 
"collector")), ContractStart = structure(list(), class = c("collector_character", 
"collector")), ContractEnd = structure(list(), class = c("collector_character", 
"collector"))), .Names = c("Account", "Type", "MonthlyRate", 
"ContractStart", "ContractEnd")), default = structure(list(), class = c("collector_guess", 
"collector"))), .Names = c("cols", "default"), class = "col_spec"), class = c("tbl_df", 
"tbl", "data.frame"))

Answer 1

我已經改變了你的功能，因為我遇到了很多問題。 現在它對我有用：

monthly_revenue <- function(reporting_date, monthly_rate, start, end) {
  contract_int <- interval(start, end) # Contract interval
  EoM_int <- interval(start, ceiling_date(as_date(end),unit="month")-1)

  reporting_date <- as_datetime(reporting_date)

  if(reporting_date %within% contract_int) {
    val <- 1 # bill for entire month
    # If not within interval, check if contract is in its last month
  } else if (reporting_date %within% EoM_int) {
    val <- day(end) / day(ceiling_date(as_date(end),unit="month")-1) # prorate monthly charges
  } else { # Not within contract
    val <- 0 # zero revenue
  }
  return(val * monthly_rate)
}

你的dplyr代碼是正確的，運行正常。