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tidyfst (version 1.7.1)

Tidy Verbs for Fast Data Manipulation

Description

A toolkit of tidy data manipulation verbs with 'data.table' as the backend. Combining the merits of syntax elegance from 'dplyr' and computing performance from 'data.table', 'tidyfst' intends to provide users with state-of-the-art data manipulation tools with least pain. This package is an extension of 'data.table'. While enjoying a tidy syntax, it also wraps combinations of efficient functions to facilitate frequently-used data operations.

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Version

Install

install.packages('tidyfst')

Monthly Downloads

677

Version

1.7.1

License

MIT + file LICENSE

Issues

Pull Requests

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Repository

https://github.com/hope-data-science/tidyfst

Homepage

https://hope-data-science.github.io/tidyfst/

Maintainer

Tian-Yuan Huang

Last Published

August 16th, 2022

Functions in tidyfst (1.7.1)

Filter entries in data.frame

Impute missing values with mean, median or mode

Short cut to data.table

Fast lead/lag for vectors

Pivot data from wide to long

Set global printing method for data.table

Pull out a single variable

Parse,inspect and extract data.table from fst file

Not in operator

Dump, replace and fill missing values in data.frame

Group by variable(s) and implement operations

pairwise_count_dt

Count pairs of items within a group

Read and write fst files

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

Mutate columns in data.frame

Load or unload R package(s)

Set operations for data frames

Fast value replacement in data frame

Extract the nth value from a vector

Nice printing of report the Space Allocated for an Object

Data manipulation within groups

Unite multiple columns into one by pasting strings together

Objects exported from other packages

Summarise columns to single values

Recode number or strings

Convenient print of time taken

Subset rows using their positions

Use UTF-8 for character encoding in a data frame

Select column from data.frame

Case insensitive table joining like SQL

Sample rows randomly from a table

Tools for working with row names

Nest and unnest

"Uncount" a data frame

Rename column in data.frame

Efficient transpose of data.frame

Select top (or bottom) n rows (by value)

Change column order

Conditional update of columns in data.table

Conversion between tidy table and named matrix

Pivot data from long to wide

Complete a data frame with missing combinations of data

Save a data.frame as a fst table

Select distinct/unique rows in data.frame

Fast creation of dummy variables

Get the column name of the max/min number each row

Count observations by group

Cumulative mean

Arrange entries in data.frame

Add percentage to counts in data.frame