Data Table Back-End for 'dplyr'
Separate a character column into multiple columns with a regular expre...
Subset rows using their positions
Summarise each group to one row
Create new columns, dropping old
Unite multiple columns into one by pasting strings together.
Arrange rows by column values
Set operations
Relocate variables using their names
Rename columns using their names
Replace NAs with specified values
Subset columns using their names
Subset first or last rows
Force computation of a lazy data.table
Complete a data frame with missing combinations of data
Count observations by group
Subset distinct/unique rows
dtplyr is data.table aware
Drop rows containing missing values
dtplyr: Data Table Back-End for 'dplyr'
Expand data frame to include all possible combinations of values.
Fill in missing values with previous or next value
Subset rows using column values
Group and ungroup
Apply a function to each group
Create a "lazy" data.table for use with dplyr verbs
Join data tables
Create and modify columns
Nest
Pivot data from wide to long
Pivot data from long to wide
Summarise each group to one row
Provides a data.table backend for 'dplyr'. The goal of 'dtplyr' is to allow you to write 'dplyr' code that is automatically translated to the equivalent, but usually much faster, data.table code.
Useful links