Fast and Memory Efficient Data Operations in Tidy Syntax
Arrange entries in data.frame
Save a data.frame as a fst table
Complete a data frame with missing combinations of data
Count observations by group
Cumulative mean
Select distinct/unique rows in data.table
Drop or delete data by rows or columns
Fast creation of dummy variables
Fill in missing values with previous or next value
Filter entries in data.frame
Read and write fst files
Parse,inspect and extract data.table from fst file
Group by one or more variables
Join tables
Fast lead/lag for vectors
Pivot data between long and wide
Create or transform variables
Nest and unnest
Extract the nth value from a vector
Nice printing of report the Space Allocated for an Object
Pull out a single variable
Convenient file reader
Objects exported from other packages
Change column order
Fast value replacement in data frame
Computation by rows
Select/rename variables by name
Separate a character column into two columns using a regular expressio...
Subset rows using their positions
Summarise columns to single values
Convenient print of time taken
Conversion between tidy table and named matrix
"Uncount" a data frame
Unite multiple columns into one by pasting strings together
Use UTF-8 for character encoding in a data frame
Tidy syntax for 'data.table', using modification by reference whenever possible. This toolkit is designed for big data analysis in high-performance desktop or laptop computers. The syntax of the package is similar or identical to 'tidyverse'. It is user friendly, memory efficient and time saving. For more information, check its ancestor package 'tidyfst'.
Useful links