从动态 dataframe 转换为动态日期列作为因子

Question

I am creating dynamically 3 dataframes through a loop to calculate the variable Nb_Active_Accounts on 3 levels of granularity: daily/weekly/monthly; and I am trying to convert the dynamic date column as factor in a dynamic way.
If I had only a simple weekly level dataframe, the dataframe would be named Active_Accounts_Weekly and would look like below:

and to convert the Week_Date from a date to a factor I would only have to do this:

Active_Accounts_Weekly$Week_Date <- as.factor(Active_Accounts_Weekly$Week_Date)

But since I am creating dynamically 3 different dataframes by using functions like get() and assign() in a loop, I am trying to convert respectively the column Day_Date/Week_Date/Month_Date to a factor.
The dynamic dataframe representation looks like this: get( paste0("Active_Accounts_", date_granularity$var_name[i] ) ) where var_name is respectively equal to "Daily" / "Weekly" / "Monthly"

What is the appropriate way to do this?

Answer 1

We could use mget to get all the data into a list and then loop over the list with lapply and transform and keep the data in a list

lst1 <- lapply(mget(paste0("Active_Accounts_", date_granularity$var_name)), 
       transform, Week_Date = factor(Week_Date))