```
         Date NewArea.km2 IDday
1  2018-03-01    152.3972     0
2  2018-03-15    152.3972     0
3  2018-04-01    152.3972     0
4  2018-04-15    152.3972     0
5  2018-05-01    152.3972     0
6  2018-05-15    152.3972     0
7  2018-06-01    152.3972     0
8  2018-06-10    152.3972     0
9  2018-06-15    152.3972     0
10 2018-06-20    152.3972     0
11 2018-06-21    152.3972     1
12 2018-06-22    152.3972     3
13 2018-06-23    152.3972     4
14 2018-06-24    152.3972     6
15 2018-06-25    152.3972     6
16 2018-06-26    152.3972    16
17 2018-06-27    152.3972    22
18 2018-06-28    152.3972    22
19 2018-06-29    152.3972    24
20 2018-06-30    152.3972    24
21 2018-07-01    152.3972    27

```

Here's a subset of the data I have. As you may have eluded to from the title, I would like to add rows to my data frame such that missing dates are also included (i.e. 2018-03-02, 2018-03-03, etc.) The other two columns ideally would fill up with NA's such that the new row 2 would read 

```
2  2018-03-02  NA  NA

```