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改進一個 function 來提取年、月和星期幾

[英]Improve a function to extract year, month and date of week

我想寫一個 wrap function ,我可以減少提取年、月和星期幾的步驟,這樣我就不必重復輸入日期變量名。 此外,如果我需要額外的季節性變量或其他時間 object 行,我可以在 function 中添加額外的行。

逐行方式是

library(lubridate)
yr = year(travel_date)
mth = months(travel_date)
day = weekdays(travel_date))

我可以通過dplyr方式鏈接它們:

cat <- cat %>% mutate(yr = year(travel_date), 
                      mth = months(travel_date),
                      day = weekdays(travel_date))

data.table方式:

cat[, yr := year(travel_date)][, mnth := months(travel_date)][, dayweek := weekdays(travel_date)]

我的wrap function思路是只需要記一次dataframe的名字和變量名。 但它不起作用。

time_spin <- function(x, y) {
  x[, yr := year(y)][,mth := months(y)][,day := weekdays(y)]
}

有什么建議我可以改進嗎? 我可以通過 function 到dplyrdata.table換行。

輸入

cat <- structure(list(id = 1:6, 
                      travel_date = structure(c(16107L, 17266L, 16834L, 17953L, 17953L, 17953L), 
                                              class = c("IDate", "Date"))), 
                 row.names = c(NA, -6L), 
                 class = c("data.table", "data.frame"))

使用dplyr可以將 function 寫成:

time_spin <- function(x, y) {
  x %>% mutate(yr = year(.data[[y]]), 
                 mth = months(.data[[y]]),
                 day = weekdays(.data[[y]]))
}

time_spin(cat, 'travel_date')

#   id travel_date   yr      mth       day
#1:  1  2014-02-06 2014 February  Thursday
#2:  2  2017-04-10 2017    April    Monday
#3:  3  2016-02-03 2016 February Wednesday
#4:  4  2019-02-26 2019 February   Tuesday
#5:  5  2019-02-26 2019 February   Tuesday
#6:  6  2019-02-26 2019 February   Tuesday

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