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A Grammar of Data Manipulation
Dplyr is a grammar of data manipulation, providing a consistent set of verbs that help you solve the most common data manipulation challenges.
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A fast, consistent tool for working with data frame like objects,both in memory and out of memory.
Readme
Overview
dplyr is a grammar of data manipulation, providing a consistent set ofverbs that help you solve the most common data manipulation challenges:
mutate()adds new variables that are functions of existingvariablesselect()picks variables based on their names.filter()picks cases based on their values.summarise()reduces multiple values down to a single summary.arrange()changes the ordering of the rows.
These all combine naturally with group_by() which allows you toperform any operation “by group”. You can learn more about them invignette('dplyr'). As well as these single-table verbs, dplyr alsoprovides a variety of two-table verbs, which you can learn about invignette('two-table').
dplyr is designed to abstract over how the data is stored. That means aswell as working with local data frames, you can also work with remotedatabase tables, using exactly the same R code. Install the dbplyrpackage then read vignette('databases', package = 'dbplyr').
If you are new to dplyr, the best place to start is the data importchapter in R for data science.
Installation
If you encounter a clear bug, please file a minimal reproducible exampleon github. For questionsand other discussion, please use the manipulatr mailinglist.
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Usage
Please note that this project is released with a Contributor Code ofConduct. By participating in this project you agree toabide by its terms.
Functions in dplyr
| Name | Description | |
| all_vars | Apply predicate to all variables | |
| compute | Force computation of a database query | |
| distinct | Select distinct/unique rows | |
| as.tbl_cube | Coerce an existing data structure into a tbl_cube | |
| arrange | Arrange rows by variables | |
| cumall | Cumulativate versions of any, all, and mean | |
| copy_to | Copy a local data frame to a remote src | |
| auto_copy | Copy tables to same source, if necessary | |
| filter | Return rows with matching conditions | |
| filter_all | Filter within a selection of variables | |
| do | Do anything | |
| group_by_all | Group by a selection of variables | |
| check_dbplyr | dbplyr compatibility functions | |
| coalesce | Find first non-missing element | |
| backend_dbplyr | Database and SQL generics. | |
| explain | Explain details of a tbl | |
| bind | Efficiently bind multiple data frames by row and column | |
| all_equal | Flexible equality comparison for data frames | |
| failwith | Fail with specified value. | |
| add_rownames | Convert row names to an explicit variable. | |
| case_when | A general vectorised if | |
| group_by_prepare | Prepare for grouping. | |
| group_indices | Group id. | |
| join | Join two tbls together | |
| ident | Flag a character vector as SQL identifiers | |
| n | The number of observations in the current group. | |
| location | Print the location in memory of a data frame | |
| lead-lag | Lead and lag. | |
| desc | Descending order | |
| n_distinct | Efficiently count the number of unique values in a set of vector | |
| dim_desc | Describing dimensions | |
| id | Compute a unique numeric id for each unique row in a data frame. | |
| join.tbl_df | Join data frame tbls | |
| order_by | A helper function for ordering window function output | |
| na_if | Convert values to NA | |
| band_members | Band membership | |
| funs | Create a list of functions calls. | |
| bench_compare | Evaluate, compare, benchmark operations of a set of srcs. | |
| recode | Recode values | |
| reexports | Objects exported from other packages | |
| group_size | Calculate group sizes. | |
| progress_estimated | Progress bar with estimated time. | |
| between | Do values in a numeric vector fall in specified range? | |
| nasa | NASA spatio-temporal data | |
| group_by | Group by one or more variables | |
| tally_ | Deprecated SE versions of main verbs. | |
| select_all | Select and rename a selection of variables | |
| select | Select/rename variables by name | |
| sample | Sample n rows from a table | |
| near | Compare two numeric vectors | |
| if_else | Vectorised if | |
| nth | Extract the first, last or nth value from a vector | |
| init_logging | Enable internal logging | |
| src_dbi | Source for database backends | |
| rowwise | Group input by rows | |
| src_local | A local source. | |
| scoped | Operate on a selection of variables | |
| dplyr-package | dplyr: a grammar of data manipulation | |
| summarise_all | Summarise and mutate multiple columns. | |
| summarise_each | Summarise and mutate multiple columns. | |
| same_src | Figure out if two sources are the same (or two tbl have the same source) | |
| dr_dplyr | Dr Dplyr checks your installation for common problems. | |
| top_n | Select top (or bottom) n rows (by value) | |
| tbl_vars | List variables provided by a tbl. | |
| select_vars | Select variables | |
| grouped_df | A grouped data frame. | |
| storms | Storm tracks data | |
| tidyeval | Tidy eval helpers | |
| src_tbls | List all tbls provided by a source. | |
| vars | Select variables | |
| starwars | Starwars characters | |
| summarise | Reduces multiple values down to a single value | |
| with_order | Run a function with one order, translating result back to original order | |
| tally | Count/tally observations by group | |
| tbl | Create a table from a data source | |
| tbl_cube | A data cube tbl | |
| tbl_df | Create a data frame tbl. | |
| groups | Return grouping variables | |
| make_tbl | Create a 'tbl' object | |
| mutate | Add new variables | |
| pull | Pull out a single variable | |
| ranking | Windowed rank functions. | |
| setops | Set operations | |
| slice | Select rows by position | |
| sql | SQL escaping. | |
| src | Create a 'src' object | |
| common_by | Extract out common by variables | |
| arrange_all | Arrange rows by a selection of variables | |
| as.table.tbl_cube | Coerce a tbl_cube to other data structures | |
| No Results! | ||
Vignettes of dplyr
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| Name | ||
| internals/hybrid-evaluation.Rmd | ||
| compatibility.Rmd | ||
| dplyr.Rmd | ||
| programming.Rmd | ||
| two-table.Rmd | ||
| window-functions.Rmd | ||
| No Results! | ||
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Details
| Type | Package |
| License | MIT + file LICENSE |
| URL | http://dplyr.tidyverse.org, https://github.com/tidyverse/dplyr |
| BugReports | https://github.com/tidyverse/dplyr/issues |
| LinkingTo | BH (>= 1.58.0-1), bindrcpp (>= 0.2.0.9000), plogr (>=0.1.10), Rcpp (>= 0.12.15) |
| VignetteBuilder | knitr |
| Encoding | UTF-8 |
| LazyData | yes |
| RoxygenNote | 6.1.0 |
| NeedsCompilation | yes |
| Packaged | 2018-11-09 21:23:40 UTC; kirill |
| Repository | CRAN |
| Date/Publication | 2018-11-10 07:30:02 UTC |
| imports | assertthat (>= 0.2.0) , bindrcpp (>= 0.2.0.9000) , glue (>= 1.1.1) , magrittr (>= 1.5) , methods , pkgconfig (>= 2.0.1) , R6 (>= 2.2.2) , Rcpp (>= 0.12.19) , rlang (>= 0.3.0) , tibble (>= 1.4.2) , tidyselect (>= 0.2.3) , utils |
| linkingto | BH (>= 1.58.0-1) , plogr (>= 0.1.10) |
| suggests | bit64 (>= 0.9.7) , callr , covr (>= 3.0.1) , DBI (>= 0.7.14) , dbplyr (>= 1.2.0) , dtplyr (>= 0.0.2) , ggplot2 (>= 2.2.1) , hms (>= 0.4.1) , knitr (>= 1.19) , Lahman (>= 3.0-1) , lubridate , MASS , mgcv (>= 1.8.23) , microbenchmark (>= 1.4.4) , nycflights13 (>= 0.2.2) , rmarkdown (>= 1.8) , RMySQL (>= 0.10.13) , RPostgreSQL (>= 0.6.2) , RSQLite (>= 2.0) , testthat (>= 2.0.0) , withr (>= 2.1.1) |
| depends | R (>= 3.1.2) |
| Contributors | Kirill Muller, Romain Francois, RStudio, Lionel Henry |
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