R Programming for Statistics and Data Science - Sampling Data with the Dplyr Package

The video tutorial introduces the deep player package, focusing on its sample functions: Sample_N and Sample_frack. Sample_N allows for random sampling of a fixed number of rows, while Sample_frack samples a fixed fraction of the dataset. The tutorial also covers sampling with replacement, known as bootstrapping, which is useful for deriving standard errors and confidence intervals. The session concludes with a preview of the next lesson on the pipe operator, which simplifies combining multiple operations.

What is the purpose of the Sample_N function in the Deep Player package?

Explain the difference between sample_frack and Sample_N.

What does the Sample command return when executed?

What is bootstrapping in the context of sampling?

How does the pipe operator change the way operations are performed?