# Easily Tidy Data with 'spread()' and 'gather()' Functions

## Documentation for package ‘tidyr’ version 0.8.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.

## Help Pages

complete | Complete a data frame with missing combinations of data.
crossing | Expand data frame to include all combinations of values
drop_na | Drop rows containing missing values
expand | Expand data frame to include all combinations of values
extract | Extract one column into multiple columns.
fill | Fill in missing values.
full_seq | Create the full sequence of values in a vector.
gather | Gather columns into key-value pairs.
nest | Nest repeated values in a list-variable.
nesting | Expand data frame to include all combinations of values
population | World Health Organization TB data
replace_na | Replace missing values
separate | Separate one column into multiple columns.
separate_rows | Separate a collapsed column into multiple rows.
smiths | Some data about the Smith family.
spread | Spread a key-value pair across multiple columns.
table1 | Example tabular representations
table2 | Example tabular representations
table3 | Example tabular representations
table4a | Example tabular representations
table4b | Example tabular representations
table5 | Example tabular representations
uncount | "Uncount" a data frame
unite | Unite multiple columns into one.
unnest | Unnest a list column.
who | World Health Organization TB data