- **2a.**(0.3 point) Notice that the `Birthdate` and `Date` columns in both data frames `sprint.m.df` and `sprint.w.df` are currently factors that follow the format `DAY.MONTH.YEAR`. function called `date.to.vector()` that takes in a factor from either the `Birthdate` or `Date` columns, and outputs a numeric of the form `DAY + (MONTH)*10^2 + (YEAR)*10^4`. For example, `date.to.numeric(as.factor("16.08.2009"))` should return the numeric `20090816`. Then, use one of the apply functions to iteratively use `date.to.numeric()` on both the `Birthdate` and `Date` columns in both the `sprint.m.df` and `sprint.w.df` data frames, converting these columns to numerics as appropriate. Print out the first five lines of `sprint.m.df` and `sprint.w.df` afterwards. Note: the dates in `Birthdate` have only the last two numbers of the year, while `Date` has all four numbers of the year (e.g., `86` vs. `1986`). Your code should handle this appropriately.