Interview questions

R-programming interview questions – page 5

150 questions. Tap “Show answer” to check yourself.

  1. Explain disadvantages of density-based clustering in R?

  2. What is the usage of the lattice package in R?

  3. What are Characteristics of R Hierarchical Clustering?

  4. Explain advantages of R data Visualization?

  5. What is meant by ANOVA models in R?

  6. How many types of functions are there in R string manipulation?

  7. What are covariances in R?

  8. What data Visualizations in R you should learn?

  9. Explain DBSCAN algorithm in R?

  10. Which package provides the bootstrapping?

  11. How can you merge two data frames in R language?

  12. Explain different types of atomic vectors in R?

  14. What is the Use of String Utilities in the edtdbg Debugging Tool in R string manipulation?

  15. What is the of use Matrix package?

  16. What is the regular expression in R string manipulation?

  17. What is the difference between the data frame and a matrix in R?

  18. What is the byte in R?

  19. What is the power analysis?

  20. What is the purpose of using Next statement in R language?

  21. What is Preliminaries in R?

  22. What is t-tests() in R?

  23. What are co-relations in R?

  24. What is the use of abline() function?

  25. Can we update and delete any of the elements in a list?

  27. Give the command to check if the element 15 is present in vector x?

  28. Explain what is transpose?

  29. What are debuggers and debugging techniques in R?

  30. What is JIT package?

  31. What is string manipulation in R?

  32. Explain What is R?

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