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 ...