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tidyr (version 0.3.0)

Easily Tidy Data with `spread()` and `gather()` Functions

Description

An evolution of 'reshape2'. It's designed specifically for data tidying (not general reshaping or aggregating) and works well with 'dplyr' data pipelines.

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Install

install.packages('tidyr')

Monthly Downloads

1,199,672

Version

0.3.0

License

MIT + file LICENSE

Issues

51

Pull Requests

4

Stars

1,394

Forks

415

Maintainer

Hadley Wickham

Last Published

September 8th, 2015

Functions in tidyr (0.3.0)

complete_

Standard-evaluation version of complete.
unite

Unite multiple columns into one.
extract_

Standard-evaluation version of extract.
nest

Nest repeated values in a list-varible.
nest_

Standard-evaluation version of nest.
unnest

Unnest a list column.
expand

Expand data frame to include all combinations of values
separate

Separate one column into multiple columns.
spread

Spread a key-value pair across multiple columns.
complete

Complete a data frame with missing combinations of data.
extract_numeric

Extract numeric component of variable.
separate_

Standard-evaluation version of separate.
%>%

Pipe operator
unnest_

Standard-evaluation version of unnest.
unite_

Standard-evaluation version of unite
seq_range

Create an evenly spaced sequence of values from highest to lowest.
gather_

Gather (standard-evaluation).
replace_na

Replace missing values
gather

Gather columns into key-value pairs.
fill

Fill in missing values.
fill_

Standard-evaluation version of fill.
expand_

Expand (standard evaluation).
extract

Extract one column into multiple columns.
spread_

Standard-evaluation version of spread.