:= (pass by reference) operator in the data.table package modifies another data table object simultaneously

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  2. Subset rows corresponding to max value by group using data.table
  3. Extract row corresponding to minimum value of a variable by group
  4. Group by multiple columns and sum other multiple columns
  5. Apply a function to every specified column in a data.table and update by reference
  6. Fastest way to replace NAs in a large data.table
  7. Left join using data.table
  8. How can one work fully generically in data.table in R with column names in variables
  9. Why is rbindlist “better” than rbind?
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  13. data.table join then add columns to existing data.frame without re-copy
  14. data.table – select first n rows within group [duplicate]
  15. subsetting a data.table using != excludes NA too
  16. Adding new columns to a data.table by-reference within a function not always working
  17. Dynamic column names in data.table
  18. Calculate multiple aggregations on several variables using lapply(.SD, …)
  19. Merge rows in a dataframe where the rows are disjoint and contain NAs
  20. Calculate row-wise maximum
  21. Convert *some* column classes in data.table
  22. from data table, randomly select one row per group
  23. How to change type of target column when doing := by group in a data.table in R?
  24. Canonical tidyverse method to update some values of a vector from a look-up table
  25. write.csv for large data.table
  26. Subsetting data.table set by date range in R
  27. Efficiently merging two data frames on a non-trivial criteria
  28. assigning by reference into loaded package datasets
  29. Index unique values in data.table
  30. calculating sum of previous 3 rows in R data.table (by grid-square)

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