Convert a data frame to a data.table without copy

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More Related Contents:

  1. Aggregate / summarize multiple variables per group (e.g. sum, mean)
  2. Understanding exactly when a data.table is a reference to (vs a copy of) another data.table
  3. Fastest way to replace NAs in a large data.table
  4. Fastest way to add rows for missing time steps?
  5. Assign multiple columns using := in data.table, by group
  6. How to replace NA values in a table for selected columns
  7. data.table join then add columns to existing data.frame without re-copy
  8. Why is plyr so slow?
  9. Merge rows in a dataframe where the rows are disjoint and contain NAs
  10. Replace logical values (TRUE / FALSE) with numeric (1 / 0)
  11. Cleaning `Inf` values from an R dataframe
  12. write.csv for large data.table
  13. DT[!(x == .)] and DT[x != .] treat NA in x inconsistently
  14. Merge overlapping ranges into unique groups, in dataframe
  15. What you can do with a data.frame that you can’t with a data.table?
  16. Subset data frame based on number of rows per group
  17. Drop data frame columns by name
  18. Convert data.frame columns from factors to characters
  19. Select the first row by group
  20. Calculate row means on subset of columns
  21. How does one reorder columns in a data frame?
  22. R spreading multiple columns with tidyr [duplicate]
  23. Replacing values from a column using a condition in R
  24. Split data.frame by value
  25. Remove columns from dataframe where some of values are NA
  26. Check whether values in one data frame column exist in a second data frame
  27. How do you remove columns from a data.frame?
  28. Subsetting data.table by 2nd column only of a 2 column key, using binary search not vector scan
  29. Conditional binary join and update by reference using the data.table package
  30. Adding column if it does not exist

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