Applying a calendar function directly into a tibble - r

Question

Is a way to apply create_calendar directly into a tibble? I found a work around which is to create a "Calendar" df based off the other data set Calendar <- create_calendar(df$Date) and then bind the columns together df <- left_join(df, Calendar, by = "Date") but would like to understand how to apply it directly into a df.
Thanks!
Current approach:
#Create Calendar Function
create_calendar = function(dates) {
#Create a sequence of dates from the minimum to the maximum date in the input column
Dates = seq(min(dates), max(dates), by="days")
#Convert the dates to a tibble and add additional columns
Calendar = as_tibble(Dates) %>%
rename(Date = value) %>%
mutate(
DateNo = day(Date),
NameDay = wday(Date,label = TRUE, abbr=FALSE),
NameDayShort = wday(Date,label = TRUE),
DayinWeek = wday(Date),
MonthNo = month(Date),
NameMonth = month(Date, label = TRUE, abbr=FALSE),
NameMonthShort = month(Date, label = TRUE),
Week = week(Date),
Year = year(Date),
Quarter = quarter(Date, with_year = F, fiscal_start = 7)) %>%
#Month number for the Australian financial year
Calendar <- Calendar %>%
mutate(AFYMonth = case_when(
NameMonthShort == "Jul" ~ 1
NameMonthShort == "Aug" ~ 2,
NameMonthShort == "Sep" ~ 3,
NameMonthShort == "Oct" ~ 4,
NameMonthShort == "Nov" ~ 5,
NameMonthShort == "Dec" ~ 6,
NameMonthShort == "Jan" ~ 7,
NameMonthShort == "Feb" ~ 8,
NameMonthShort == "Mar" ~ 9,
NameMonthShort == "Apr" ~ 10,
NameMonthShort == "May" ~ 11,
NameMonthShort == "Jun" ~ 12,
))
#Format the week column as %V
Calendar$Week <- format(Calendar$Date, format = "%V")
return(Calendar)
}
#Read function and apply to current df [Missing Step]
df <- df %>%
mutate(Calendar = create_calendar(Date))

Answer 1

Yes, you can the tidyverse operator {{}}, it allows to reference a column name inside a tidyverse function.
Function
library(lubridate)
library(dplyr)
create_calendar <- function(df,dt_var) {
#Convert the dates to a tibble and add additional columns
Calendar <-
df %>%
mutate(
DateNo = day({{dt_var}}),
NameDay = wday({{dt_var}},label = TRUE, abbr=FALSE),
NameDayShort = wday({{dt_var}},label = TRUE),
DayinWeek = wday({{dt_var}}),
MonthNo = month({{dt_var}}),
NameMonth = month({{dt_var}}, label = TRUE, abbr=FALSE),
NameMonthShort = month({{dt_var}}, label = TRUE),
Week = week({{dt_var}}),
Year = year({{dt_var}}),
Quarter = quarter({{dt_var}}, with_year = F, fiscal_start = 7))
#Month number for the Australian financial year
Calendar <-
Calendar %>%
mutate(AFYMonth = case_when(
NameMonthShort == "Aug" ~ 1,
NameMonthShort == "Sep" ~ 2,
NameMonthShort == "Oct" ~ 3,
NameMonthShort == "Nov" ~ 4,
NameMonthShort == "Dec" ~ 5,
NameMonthShort == "Jan" ~ 6,
NameMonthShort == "Feb" ~ 7,
NameMonthShort == "Mar" ~ 8,
NameMonthShort == "Apr" ~ 9,
NameMonthShort == "May" ~ 10,
NameMonthShort == "Jun" ~ 11,
NameMonthShort == "Jul" ~ 12
))
#Format the week column as %V
Calendar$Week <- format(Calendar$Date, format = "%V")
return(Calendar)
}
Example
df <- data.frame(dt = lubridate::dmy("01/01/01"))
create_calendar(df,dt)