What you can do with a data.frame that you can’t with a data.table?

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More Related Contents:

  1. Aggregate / summarize multiple variables per group (e.g. sum, mean)
  2. Fastest way to replace NAs in a large data.table
  3. Fastest way to add rows for missing time steps?
  4. Assign multiple columns using := in data.table, by group
  5. How to replace NA values in a table for selected columns
  6. Why is plyr so slow?
  7. Merge rows in a dataframe where the rows are disjoint and contain NAs
  8. Replace logical values (TRUE / FALSE) with numeric (1 / 0)
  9. Cleaning `Inf` values from an R dataframe
  10. write.csv for large data.table
  11. DT[!(x == .)] and DT[x != .] treat NA in x inconsistently
  12. Merge overlapping ranges into unique groups, in dataframe
  13. Convert a data frame to a data.table without copy
  14. Repeat each row of data.frame the number of times specified in a column
  15. Split column at delimiter in data frame [duplicate]
  16. Select groups based on number of unique / distinct values
  17. Sample n random rows per group in a dataframe
  18. Select every nth row from dataframe
  19. Remove Rows From Data Frame where a Row matches a String
  20. duplicates in multiple columns
  21. Select values from different columns based on a variable containing column names [duplicate]
  22. R – add column that counts sequentially within groups but repeats for duplicates
  23. R self reference
  24. How to speed up subset by groups
  25. Calculate row-wise proportions
  26. Extract a column from a data.table as a vector, by position
  27. Merge or combine by rownames
  28. How to add new column to an dataframe (to the front not end)?
  29. := (pass by reference) operator in the data.table package modifies another data table object simultaneously
  30. Rowwise cumulative sum

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