tidyr v0.4.1


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by Hadley Wickham

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

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

Functions in tidyr

Name Description
nest Nest repeated values in a list-variable.
unite Unite multiple columns into one.
extract_numeric Extract numeric component of variable.
spread_ Standard-evaluation version of spread.
gather_ Gather (standard-evaluation).
complete Complete a data frame with missing combinations of data.
unnest Unnest a list column.
gather Gather columns into key-value pairs.
separate_ Standard-evaluation version of separate.
fill Fill in missing values.
extract_ Standard-evaluation version of extract.
expand_ Expand (standard evaluation).
replace_na Replace missing values
full_seq Create the full sequence of values in a vector.
spread Spread a key-value pair across multiple columns.
separate Separate one column into multiple columns.
complete_ Standard-evaluation version of complete.
nest_ Standard-evaluation version of nest.
expand Expand data frame to include all combinations of values
extract Extract one column into multiple columns.
fill_ Standard-evaluation version of fill.
unnest_ Standard-evaluation version of unnest.
%>% Pipe operator
unite_ Standard-evaluation version of unite
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License MIT + file LICENSE
LazyData true
URL https://github.com/hadley/tidyr
BugReports https://github.com/hadley/tidyr/issues
VignetteBuilder knitr
LinkingTo Rcpp
RoxygenNote 5.0.1
NeedsCompilation yes
Packaged 2016-02-05 17:08:15 UTC; hadley
Repository CRAN
Date/Publication 2016-02-05 21:46:58

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