Reference

Arrange

arrange_by_nchar()

Arrange a Column by Character Number

arrange_dbl()

Arrange by a Given Column as Double

arrange_int()

Arrange by a Column as Integer

arrange_num()

Arrange by a Given Column as Numeric

arrange_sort()

Sort a Dataframe

Categorize and Recode

categorize()

Categorize a Column

categorize_ff()

Create a Categorizing Function

recode_boolean()

Recode a values to boolean

recode_value()

Recode a values to another

Coalesce

coalesce_at()

Coalesce 1+ Fields to an Existing Field

coalesce_to()

Coalesce 1+ Fields to a New Field

Time Columns

date_to_col()

Add a Date Column to Position 1

datetime_to_col()

Add a Datetime Column to Position 1

parse_date_col()

Parse a Date Column

Deselect and Select

deselect_if_all_na()

Deselect columns that are all NA

deselect_if_all_same()

Deselect columns that are all NA

select_distinct()

Selects columns and get the distinct values back

select_if_all_na()

Select columns that are all NA

Filter

filter_all_grepl()

Filter at a variable that contains or doesn't contain a phrase

filter_all_grepl_all()

Filter all the variables for all matches to the grepl phrase

filter_all_grepl_any()

Filter at a variable that contains or doesn't contain a phrase

filter_at_grepl()

Filter at a variable that contains or doesn't contain a phrase

filter_at_grepl_all()

Filter at a variable that contains or doesn't contain a phrase

filter_at_grepl_any()

Filter at a variable that contains or doesn't contain a phrase

filter_first()

Filter for the first row

filter_for()

Filter a column for a set of values

filter_for_all()

Filter a column for a set of values

filter_for_any()

Filter a column for a set of values

Mutate

mutate_all_char()

Mutate All Columns to Character

mutate_all_na_character()

Normalize Character Column Values to `NA_character_``

mutate_all_trimws()

Trim Whitespace of all Character Columns

Rename

rename_all_prefix()

Rename all columns with a prefix

rename_all_remove()

Replace a pattern in all column names

rename_all_replace()

Replace a pattern in all column names

rename_all_suffix()

Rename all with suffix

rename_all_with_prefix()

Rename all columns with a prefix

rename_all_with_replace()

Replace a pattern in all column names

rename_all_with_suffix()

Rename all with suffix

rename_as()

FUNCTION_TITLE

rename_at_prefix()

Rename all columns with a prefix

rename_at_remove()

Replace a pattern in all column names

rename_at_replace()

Replace a pattern in all column names

rename_at_suffix()

Rename all with suffix

Format

format_colnames()

Format Column Names

format_names()

Standardize List Names

rm_multibyte_chars()

Remove all multibyte characters in the dataframe

Aggregation

summarize_functions

Summarize Functions

summarize_max()

Summarizes each column with max value

summarize_numeric()

Summarize Numeric Columns with Standard Summary Functions

summarize_variables()

Summarize a Variable

grouped_paste()

Aggregate Function

observation_count()

Get the number of times a row appears in a dataframe

value_count()

Value Count for a Dataframe

Randomize and Sampling

randomize()

Randomize a Dataframe

sample_all_or_n()

Sample a dataframe for n obs and returns full dataframe if n > nrow

Split

split_by()

Split a Dataframe

split_deselect()

Split a Dataframe

Diff

setdiff_col_match() compare_cols()

Set Difference between Overlapping Columns

setdiff_nrow()

Number of Different Rows between 2 Dataframes

Reposition

to_last_position()

Bring a Column to the Last Position

to_position_1()

Bring a Column to Position 1

to_position_n()

Bring a Column to the Last Position

QA

duplicated_cols()

Names of Duplicate Columns

Miscellaneous

blank_tibble()

Create a Blank Tibble

list_to_tibble()

List to Tibble

map_names_set()

Map and set_names function from purrr package in tandem

release()

Release all the columns in a dataframe into vectors of the same name