I am facing the following issue:
I have a dataframe Actuals [months, products] which has forecasts on a monthly level.
Now I need to convert it into days and then calender weeks by the following formula:
(demand in month/days in month ) *days in week =demand CW
Since for some CWs the months are overlapping I have figured the following logic
month / p^1 /p^2 etc....
I need so create a vector containing the days in month acordingly
and divide the data by the number of days in week.
Then I need to make a long list where the first month is replicated 31 times and Febrary 29 times and so on ...
Last but not least I summarize the Calender weeks accordingly.
The thing is that I do not know really how to start, as I am very new to R and I have a tight schedule for my Thesis.
Can anybody help me on this?
I read that the best way would be to write a function and run it with adply ()....
See the approach below but I would still need help ....