Applying a function to each row of a data.table

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  1. Understanding exactly when a data.table is a reference to (vs a copy of) another data.table
  2. Extract row corresponding to minimum value of a variable by group
  3. Group by multiple columns and sum other multiple columns
  4. Left join using data.table
  5. How can one work fully generically in data.table in R with column names in variables
  6. Why is rbindlist “better” than rbind?
  7. Faster version of combn
  8. Pass column name in data.table using variable [duplicate]
  9. What does .SD stand for in data.table in R
  10. data.table join then add columns to existing data.frame without re-copy
  11. data.table – select first n rows within group [duplicate]
  12. subsetting a data.table using != excludes NA too
  13. Dynamic column names in data.table
  14. Calculate multiple aggregations on several variables using lapply(.SD, …)
  15. Merge rows in a dataframe where the rows are disjoint and contain NAs
  16. Convert *some* column classes in data.table
  17. How to change type of target column when doing := by group in a data.table in R?
  18. Canonical tidyverse method to update some values of a vector from a look-up table
  19. write.csv for large data.table
  20. Subsetting data.table set by date range in R
  21. Extracting unique rows from a data table in R [duplicate]
  22. Accessing columns in data.table using a character vector of column names
  23. How can I evaluate (or create) an on the fly column in data.table in r
  24. Keyed lookup on data.table without ‘with’
  25. Subset data.table by logical column
  26. Data Table – Select Value of Column by Name From Another Column
  27. paste two data.table columns
  28. Removing multiple columns from R data.table with parameter for columns to remove
  29. Merging multiple data.tables
  30. Fill option for fread

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