I am new to R, and currently working with setting up my data.
My data comes in a format where I each row contains a single measurement (DV), and a column with an explanation for the type of measurement (DVID).

Here is an example of my data:

```
ID  TIME    DV  DVID
1   0   0.0 7
1   1   27.5    1
1   1   0.0 7
1   4   19.6    1
1   4   0.0 7
1   8   17.9    1
1   8   0.0 7
1   12  17.7    1
1   12  0.0 7
1   24  19.6    1
1   24  0.0 7
1   48  32.9    1
1   48  0.0 7
2   0   0.0 7
2   1   0.0 7
2   4   0.0 7
2   8   0.0 7
2   12  0.0 7
2   24  0.0 7
2   48  27.3    1
2   72  30.9    1
2   72  0.0 7
2   96  20.8    1
3   0   1.0 7
3   1   7.0 1
3   1   0.0 7
3   4   15.0    1
3   4   0.0 7
3   8   27.2    1
3   8   0.0 7
3   12  0.0 7
3   24  47.0    1
3   24  0.0 7
3   48  65.4    1
3   48  0.0 7
3   72  68.7    1
3   72  0.0 7
3   96  82.8    1
3   96  0.0 7
3   120 70.5    1

```

What I want to do is to "pair together" the different types of measurements, so I have one column with the measurements that is one type (DVID=1) and another column with the measurements that is another type (DVID=7).
I also need to delete the measurements where I don't have both type of measurements (or, alternatively, put in NA in these fields)
An example of this looks like:

```
ID  TIME    DV_1    DV_7
1   1   27.5    0
1   4   19.6    0
1   8   17.9    0
1   12  17.7    0
1   24  19.6    0
1   48  32.9    0

```

The purpose is that I want to be able to plot the `DVID = 1` values against the `DVID = 7` values.
Can anyone here help me with doing this?
I now that i probably have to use functions in the split and apply family, but I have no idea about where to start.

Thanks in advance!