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tidyft (version 0.4.5)

Tidy Verbs for Fast Data Operations by Reference

Description

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'.

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Install

install.packages('tidyft')

Monthly Downloads

350

Version

0.4.5

License

MIT + file LICENSE

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Maintainer

Tian-Yuan Huang

Last Published

April 10th, 2020

Functions in tidyft (0.4.5)

count

Count observations by group
complete

Complete a data frame with missing combinations of data
cummean

Cumulative mean
fst

Parse,inspect and extract data.table from fst file
export_fst

Read and write fst files
slice

Subset rows using their positions
select

Select/rename variables by name
distinct

Select distinct/unique rows in data.table
separate

Separate a character column into two columns using a regular expression separator
unite

Unite multiple columns into one by pasting strings together
mutate

Create or transform variables
drop_na

Drop or delete data by rows or columns
longer

Pivot data between long and wide
lead

Fast lead/lag for vectors
replace_vars

Fast value replacement in data frame
rowwise_mutate

Computation by rows
dummy

Fast creation of dummy variables
sys_time_print

Convenient print of time taken
nth

Extract the nth value from a vector
reexports

Objects exported from other packages
as_fst

Save a data.frame as a fst table
arrange

Arrange entries in data.frame
object_size

Nice printing of report the Space Allocated for an Object
relocate

Change column order
uncount

"Uncount" a data frame
utf8_encoding

Use UTF-8 for character encoding in a data frame
fill

Fill in missing values with previous or next value
mat_df

Conversion between tidy table and named matrix
group_by

Group by one or more variables
filter

Filter entries in data.frame
summarise

Summarise columns to single values
inner_join

Join tables
nest

Nest and unnest
pull

Pull out a single variable
read_csv

Convenient file reader