Function reference • nplyr

One table verbs

nest_arrange(): Arrange rows within a nested data frames by column values

nest_count() nest_add_count(): Count observations in a nested data frame by group

nest_distinct(): Subset distinct/unique rows within a nested data frame

nest_filter(): Subset rows in nested data frames using column values.

nest_mutate() nest_transmute(): Create, modify, and delete columns in nested data frames

nest_relocate(): Change column order within a nested data frame

nest_rename() nest_rename_with(): Rename columns in nested data frames

nest_select(): Subset columns in nested data frames using their names and types

nest_summarise() nest_summarize(): Summarise each group in nested data frames to fewer rows

nest_slice() nest_slice_head() nest_slice_tail() nest_slice_min() nest_slice_max() nest_slice_sample(): Subset rows in nested data frames using their positions.

Two table verbs

nest_inner_join() nest_left_join() nest_right_join() nest_full_join(): Nested Mutating joins

nest_nest_join(): Nested nest join

nest_semi_join() nest_anti_join(): Nested filtering joins

Grouping

nest_group_by() nest_ungroup(): Group nested data frames by one or more variables

tidyr verbs

nest_drop_na(): Drop rows containing missing values in a column of nested data frames

nest_extract(): Extract a character column into multiple columns using regex groups in a column of nested data frames

nest_fill(): Fill missing values in a column of nested data frames

nest_replace_na(): Replace NAs with specified values in a column of nested data frames

nest_separate(): Separate a character column into multiple columns in a column of nested data frames

nest_unite(): Unite multiple columns into one in a column of nested data frames

Data

job_survey: Example survey data regarding job satisfaction

personal_survey: Example survey data regarding personal life satisfaction