Package: dplyr 1.1.4.9000

Hadley Wickham

dplyr: A Grammar of Data Manipulation

A fast, consistent tool for working with data frame like objects, both in memory and out of memory.

Authors:Hadley Wickham [aut, cre], Romain François [aut], Lionel Henry [aut], Kirill Müller [aut], Davis Vaughan [aut], Posit Software, PBC [cph, fnd]

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dplyr.pdf |dplyr.html✨
dplyr/json (API)
NEWS

# Install dplyr in R:

install.packages('dplyr', repos = c('https://tidyverse.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tidyverse/dplyr/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

band_instruments - Band membership
band_instruments2 - Band membership
band_members - Band membership
starwars - Starwars characters
storms - Storm tracks data

On CRAN:

data-manipulation grammar

293 exports 4.7k stars 19.59 score 15 dependencies 7081 dependents 1.5M downloads

Last updated 1 months agofrom:be36acf9c86e5d4c3d97f97b8d3999b713123392

Exports:.data %>%across add_count add_count_add_row add_rownames add_tally add_tally_all_equal all_of all_vars anti_join any_of any_vars arrange arrange_arrange_all arrange_at arrange_if as_data_frame as_label as_tibble as.tbl auto_copy bench_tbls between bind_cols bind_rows c_across case_match case_when changes check_dbplyr coalesce collapse collect combine common_by compare_tbls compare_tbls2 compute consecutive_id contains copy_to count count_cross_join cumall cumany cume_dist cummean cur_column cur_data cur_data_all cur_group cur_group_id cur_group_rows current_vars data_frame db_analyze db_begin db_commit db_create_index db_create_indexes db_create_table db_data_type db_desc db_drop_table db_explain db_has_table db_insert_into db_list_tables db_query_fields db_query_rows db_rollback db_save_query db_write_table dense_rank desc dim_desc distinct distinct_distinct_all distinct_at distinct_if distinct_prepare do do_dplyr_col_modify dplyr_reconstruct dplyr_row_slice ends_with enexpr enexprs enquo enquos ensym ensyms eval_tbls eval_tbls2 everything explain expr failwith filter filter_filter_all filter_at filter_if first full_join funs funs_glimpse group_by group_by_group_by_all group_by_at group_by_drop_default group_by_if group_by_prepare group_cols group_data group_indices group_indices_group_keys group_map group_modify group_nest group_rows group_size group_split group_trim group_vars group_walk grouped_df groups id ident if_all if_any if_else inner_join intersect is_grouped_df is.grouped_df is.src is.tbl join_by lag last last_col last_dplyr_warnings lead left_join location lst make_tbl matches min_rank mutate mutate_mutate_all mutate_at mutate_each mutate_each_mutate_if n n_distinct n_groups na_if near nest_by nest_join new_grouped_df new_rowwise_df nth ntile num_range one_of order_by percent_rank pick progress_estimated pull quo quo_name quos recode recode_factor reframe relocate rename rename_rename_all rename_at rename_if rename_vars rename_vars_rename_with right_join row_number rows_append rows_delete rows_insert rows_patch rows_update rows_upsert rowwise same_src sample_frac sample_n select select_select_all select_at select_if select_var select_vars select_vars_semi_join setdiff setequal show_query slice slice_slice_head slice_max slice_min slice_sample slice_tail sql sql_escape_ident sql_escape_string sql_join sql_select sql_semi_join sql_set_op sql_subquery sql_translate_env src src_df src_local src_mysql src_postgres src_sqlite src_tbls starts_with summarise summarise_summarise_all summarise_at summarise_each summarise_each_summarise_if summarize summarize_summarize_all summarize_at summarize_each summarize_each_summarize_if sym symdiff syms tally tally_tbl tbl_df tbl_nongroup_vars tbl_ptype tbl_vars tibble top_frac top_n transmute transmute_transmute_all transmute_at transmute_if tribble type_sum ungroup union union_all validate_grouped_df validate_rowwise_df vars where with_groups with_order wrap_dbplyr_obj

Dependencies:cli fansi generics glue lifecycle magrittr pillar pkgconfig R6 rlang tibble tidyselect utf8 vctrs withr

Column-wise operations

Rendered fromcolwise.Rmdusingknitr::rmarkdownon Jun 14 2024.

Last update: 2022-11-29
Started: 2020-03-03

dplyr <-> base R

Rendered frombase.Rmdusingknitr::rmarkdownon Jun 14 2024.

Last update: 2023-03-08
Started: 2020-02-22

Grouped data

Rendered fromgrouping.Rmdusingknitr::rmarkdownon Jun 14 2024.

Last update: 2022-11-02
Started: 2020-02-23

Introduction to dplyr

Rendered fromdplyr.Rmdusingknitr::rmarkdownon Jun 14 2024.

Last update: 2022-08-30
Started: 2017-04-04

Programming with dplyr

Rendered fromprogramming.Rmdusingknitr::rmarkdownon Jun 14 2024.

Last update: 2023-03-02
Started: 2017-03-22

Row-wise operations

Rendered fromrowwise.Rmdusingknitr::rmarkdownon Jun 14 2024.

Last update: 2023-04-19
Started: 2020-03-03

Two-table verbs

Rendered fromtwo-table.Rmdusingknitr::rmarkdownon Jun 14 2024.

Last update: 2021-06-01
Started: 2014-11-24

Using dplyr in packages

Rendered fromin-packages.Rmdusingknitr::rmarkdownon Jun 14 2024.

Last update: 2023-02-22
Started: 2023-02-22

Window functions

Rendered fromwindow-functions.Rmdusingknitr::rmarkdownon Jun 14 2024.

Last update: 2021-01-12
Started: 2013-10-02

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Apply a function (or functions) across multiple columns	across if_all if_any
Apply predicate to all variables	all_vars any_vars
Order rows using column values	arrange arrange.data.frame
Copy tables to same source, if necessary	auto_copy
Band membership	band_instruments band_instruments2 band_members
Detect where values fall in a specified range	between
Bind multiple data frames by column	bind_cols
Bind multiple data frames by row	bind bind_rows
Combine values from multiple columns	c_across
A general vectorised 'switch()'	case_match
A general vectorised if-else	case_when
Find the first non-missing element	coalesce
Force computation of a database query	collapse collect compute
Generate a unique identifier for consecutive combinations	consecutive_id
Information about the "current" group or variable	context cur_column cur_group cur_group_id cur_group_rows n
Copy a local data frame to a remote src	copy_to
Count the observations in each group	add_count add_tally count count.data.frame tally
Cross join	cross_join
Cumulativate versions of any, all, and mean	cumall cumany cummean
Descending order	desc
Keep distinct/unique rows	distinct
Per-operation grouping with '.by'/'by'	dplyr_by
Explain details of a tbl	explain show_query
Keep rows that match a condition	filter
Filtering joins	anti_join anti_join.data.frame filter-joins semi_join semi_join.data.frame
Get a glimpse of your data	glimpse
Group by one or more variables	group_by ungroup
Select grouping variables	group_cols
Apply a function to each group	group_map group_modify group_walk
Trim grouping structure	group_trim
Flag a character vector as SQL identifiers	ident
Vectorised if-else	if_else
Join specifications	closest join_by overlaps within
Compute lagged or leading values	lag lead lead-lag
Create, modify, and delete columns	mutate mutate.data.frame
Mutating joins	full_join full_join.data.frame inner_join inner_join.data.frame join join.data.frame left_join left_join.data.frame mutate-joins right_join right_join.data.frame
Count unique combinations	n_distinct
Convert values to 'NA'	na_if
Compare two numeric vectors	near
Nest join	nest_join nest_join.data.frame
Extract the first, last, or nth value from a vector	first last nth
Bucket a numeric vector into 'n' groups	ntile
A helper function for ordering window function output	order_by
Proportional ranking functions	cume_dist percent_rank
Select a subset of columns	pick
Extract a single column	pull
Recode values	recode recode_factor
Transform each group to an arbitrary number of rows	reframe
Change column order	relocate
Rename columns	rename rename_with
Integer ranking functions	dense_rank min_rank row_number
Manipulate individual rows	rows rows_append rows_delete rows_insert rows_patch rows_update rows_upsert
Group input by rows	rowwise
Operate on a selection of variables	scoped
Keep or drop columns using their names and types	select
Set operations	intersect setdiff setequal setops symdiff union union_all
Subset rows using their positions	slice slice_head slice_max slice_min slice_sample slice_tail
SQL escaping.	sql
Starwars characters	starwars
Storm tracks data	storms
Summarise each group down to one row	summarise summarize
Create a table from a data source	is.tbl tbl
Select variables	vars