Book Image

R for Data Science

By : Dan Toomey
Book Image

R for Data Science

By: Dan Toomey

Overview of this book

Table of Contents (19 chapters)



  • How can you decide whether to use Pearson, Kendall, or Spearman as a method for correlation?

  • When would you want to see a small degree of freedom in the correlation results?

  • Most of the examples used common default parameters. Explore the same examples with nondefault parameters.

When, how, and why?

  • Why do the polychoric functions take so long to process?

  • Why are the values chosen in the polychoric responses correlated?

  • Explain the threshold values that were calculated.


  • Is there an easier way to develop the 2 x 2 matrix needed as input to the tetrachoric function?

  • How could you account for trends in investment vehicles when analyzing stock market returns versus fixed instruments?