tidytable0.11.2 package

Apply a function across a selection of columns

Add a count column to the data frame

Arrange/reorder rows

Coerce an object to a data.table/tidytable

Do the values from x fall between the left and right bounds?

Bind data.tables by row and column

Combine values from multiple columns

Vectorized switch()

Case when

data.table::fcase() with vectorized default

Coalesce missing values

Complete a data.table with missing combinations of data

Generate a unique id for consecutive values

Context functions

Count observations by group

Cross join

Create a data.table from all unique combinations of inputs

Descending order

Select distinct/unique rows

Drop rows containing missing values

Pipeable data.table call

Convert a vector to a data.table/tidytable

Create a data.table from all combinations of inputs

Expand a data.table to use all combinations of values

Extract a character column into multiple columns using regex

Fill in missing values with previous or next value

Filter rows on one or more conditions

Extract the first, last, or nth value from a vector

Read/write files

Convert character and factor columns to dummy variables

Grouping

Selection helper for grouping columns

Split data frame by groups

Get the grouping variables

Create conditions on a selection of columns

Fast if_else

Fast %in% and %notin% operators

Run invisible garbage collection

Check if the tidytable is grouped

Test if the object is a tidytable

Get lagging or leading values

Join two data.tables together

Pivot data from wide to long

Pivot data from long to wide

Pull out a single variable

Ranking functions

Recode values

Objects exported from other packages

Reframe a data frame

Relocate a column to a new position

Rename multiple columns

Rename variables by name

Replace missing values

Convert to a rowwise tidytable

Select or drop columns

Split a string into rows

Separate a collapsed column into multiple rows

Separate a character column into multiple columns

Separate a character column into multiple columns using regex patterns

Unnest a list-column of vectors into regular columns

Unnest a list-column of vectors into a wide data frame

Unnest list-columns

Nest columns into a list-column

Create a tidytable from a list

Selection version of across()

Pipe operator

Unite multiple columns by pasting strings together

Apply a function to each element of a vector or list

Add/modify columns by row

Add/modify/delete columns

Count the number of unique values in a vector

Number of observations in each group

Convert values to NA

Nest data.tables

Nest join

Separate a character column into multiple columns

Choose rows in a data.table

Aggregate data using summary statistics

Internal vctrs methods

Build a data.table/tidytable

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

Add new variables and drop all others

Rowwise tidytable creation

Uncount a data.table