Man pages for tidyverse/tidyr
Tidy Messy Data
| billboard | Song rankings for Billboard top 100 in the year 2000 |
| check_pivot_spec | Check assumptions about a pivot 'spec' |
| chop | Chop and unchop |
| cms_patient_experience | Data from the Centers for Medicare & Medicaid Services |
| complete | Complete a data frame with missing combinations of data |
| construction | Completed construction in the US in 2018 |
| deprecated-se | Deprecated SE versions of main verbs |
| drop_na | Drop rows containing missing values |
| expand | Expand data frame to include all possible combinations of... |
| expand_grid | Create a tibble from all combinations of inputs |
| extract | Extract a character column into multiple columns using... |
| extract_numeric | Extract numeric component of variable. |
| fill | Fill in missing values with previous or next value |
| fish_encounters | Fish encounters |
| full_seq | Create the full sequence of values in a vector |
| gather | Gather columns into key-value pairs |
| hoist | Hoist values out of list-columns |
| household | Household data |
| nest | Nest rows into a list-column of data frames |
| nest_legacy | Legacy versions of 'nest()' and 'unnest()' |
| pack | Pack and unpack |
| pipe | Pipe operator |
| pivot_longer | Pivot data from wide to long |
| pivot_longer_spec | Pivot data from wide to long using a spec |
| pivot_wider | Pivot data from long to wide |
| pivot_wider_spec | Pivot data from long to wide using a spec |
| reexports | Objects exported from other packages |
| relig_income | Pew religion and income survey |
| replace_na | Replace NAs with specified values |
| separate | Separate a character column into multiple columns with a... |
| separate_longer_delim | Split a string into rows |
| separate_rows | Separate a collapsed column into multiple rows |
| separate_wider_delim | Split a string into columns |
| smiths | Some data about the Smith family |
| spread | Spread a key-value pair across multiple columns |
| table1 | Example tabular representations |
| tidyr_data_masking | Argument type: data-masking |
| tidyr_legacy | Legacy name repair |
| tidyr-package | tidyr: Tidy Messy Data |
| tidyr_tidy_select | Argument type: tidy-select |
| uncount | "Uncount" a data frame |
| unite | Unite multiple columns into one by pasting strings together |
| unnest | Unnest a list-column of data frames into rows and columns |
| unnest_auto | Automatically call 'unnest_wider()' or 'unnest_longer()' |
| unnest_longer | Unnest a list-column into rows |
| unnest_wider | Unnest a list-column into columns |
| us_rent_income | US rent and income data |
| who | World Health Organization TB data |
| world_bank_pop | Population data from the World Bank |
