Practice the following exercises to revise the concepts learned so far:

- Is multiple imputation amenable to parallel computation? Why, or why not?
- How is the way we call
`to.radians`wasteful? Is there any way to refactor our code to use`to.radians`in a more efficient way? - When I was gathering the data from
*Figure 12.2*, I didn't check every sample size from 1 to the full data set; yet, I've obtained a smooth curve. What I did was test the performance of a handful of sample sizes from 100 to only 2,000. Then I used`nls`(*non-linear least squares*) to fit an equation of the form (where*n*is the sample size) to the data points, and extrapolated ...