All period-to-date

This calculates the monthly cumulative sum of targeted value using a standard or 5-5-4 calendar respecting any groups that are passed through with dplyr::group_by()

Use calculate to return the results

Usage

atd(.data, .date, .value, calendar_type)

Arguments

.data

tibble or dbi object (either grouped or ungrouped)

.date

the date column to group by

.value

the value column to summarize

calendar_type

select either 'standard' or '5-5-4' calendar, see 'Details' for additional information

Value

ti object

Details

• This function creates a complete calendar object that fills in any missing days, weeks, months, quarters, or years

• If you provide a grouped object with dplyr::group_by(), it will generate a complete calendar for each group

• The function creates a ti object, which pre-processes the data and arguments for further downstream functions

standard calendar

• The standard calendar splits the year into 12 months (with 28–31 days each) and uses a 7-day week

• It automatically accounts for leap years every four years to match the Gregorian calendar

5-5-4 calendar

• The 5-5-4 calendar divides the fiscal year into 52 weeks (occasionally 53), organizing each quarter into two 5-week periods and one 4-week period.

• This system is commonly used in retail and financial reporting

See also

Other time_intelligence: dod(), mom(), momtd(), mtd(), mtdopm(), pmtd(), pqtd(), pwtd(), pytd(), qoq(), qoqtd(), qtd(), qtdopq(), wow(), wowtd(), wtd(), wtdopw(), yoy(), yoytd(), ytd(), ytdopy()

Examples

if (FALSE) { # \dontrun{
library(contoso)
atd(sales,.date=order_date,.value=quantity,calendar_type="standard")
} # }