Functional Programming Tools

A complete and consistent functional programming toolkit for R.

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purrr enhances R’s functional programming (FP) toolkit by providing a complete and consistent set of tools for working with functions and vectors. If you’ve never heard of FP before, the best place to start is the family of map() functions which allow you to replace many for loops with code that is both more succinct and easier to read. The best place to learn about the map() functions is the iteration chapter in R for data science.


# The easiest way to get purrr is to install the whole tidyverse:
# Alternatively, install just purrr:
# Or the the development version from GitHub:
# install.packages("devtools")



The following example uses purrr to solve a fairly realistic problem: split a data frame into pieces, fit a model to each piece, compute the summary, then extract the R2.

mtcars %>%
  split(.$cyl) %>% # from base R
  map(~ lm(mpg ~ wt, data = .)) %>%
  map(summary) %>%
#>         4         6         8 
#> 0.5086326 0.4645102 0.4229655

This example illustrates some of the advantages of purrr functions over the equivalents in base R:

  • The first argument is always the data, so purrr works naturally with the pipe.

  • All purrr functions are type-stable. They always return the advertised output type (map() returns lists; map_dbl() returns double vectors), or they throw an error.

  • All map() functions either accept function, formulas (used for succinctly generating anonymous functions), a character vector (used to extract components by name), or a numeric vector (used to extract by position).

Code of conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.


purrr 0.3.2

  • Fix protection issues reported by rchk.

purrr 0.3.1

  • reduce() now forces arguments (#643).

  • Fixed an issue in partial() with generic functions (#647).

  • negate() now works with generic functions and functions with early returns.

  • compose() now works with generic functions again (#629, #639). Its set of unit tests was expanded to cover many edge cases.

purrr 0.3.0

Breaking changes

  • modify() and variants are now wrapping [[<- instead of [<-. This change increases the genericity of these functions but might cause different behaviour in some cases.

    For instance, the [[<- for data frames is stricter than the [<- method and might throw errors instead of warnings. This is the case when assigning a longer vector than the number of rows. [<- truncates the vector with a warning, [[<- fails with an error (as is appropriate).

  • modify() and variants now return the same type as the input when the input is an atomic vector.

  • All functionals taking predicate functions (like keep(), detect(), some()) got stricter. Predicate functions must now return a single TRUE or FALSE.

    This change is meant to detect problems early with a more meaningful error message.


  • New chuck() function. This is a strict variant of pluck() that throws errors when an element does not exist instead of returning NULL (@daniel-barnett, #482).

  • New assign_in() and pluck<- functions. They modify a data structure at an existing pluck location.

  • New modify_in() function to map a function at a pluck location.

  • pluck() now dispatches properly with S3 vectors. The vector class must implement a length() method for numeric indexing and a names() method for string indexing.

  • pluck() now supports primitive functions (#404).


  • New .else argument for map_if() and modify_if(). They take an alternative function that is mapped over elements of the input for which the predicate function returns FALSE (#324).

  • reduce(), reduce2(), accumulate(), and accumulate2() now terminate early when the function returns a value wrapped with done() (#253). When an empty done() is returned, the value at the last iteration is returned instead.

  • Functions taking predicates (map_if(), keep(), some(), every(), keep(), etc) now fail with an informative message when the return value is not TRUE or FALSE (#470).

    This is a breaking change for every() and some() which were documented to be more liberal in the values they accepted as logical (any vector was considered TRUE if not a single FALSE value, no matter its length). These functions signal soft-deprecation warnings instead of a hard failure.

  • modify() and variants are now implemented using length(), [[, and [[<- methods. This implementation should be compatible with most vector classes.

  • New modify2() and imodify() functions. These work like map() and imap() but preserve the type of .x in the return value.

  • pmap() and pwalk() now preserve class for inputs of factor, Date, POSIXct and other atomic S3 classes with an appropriate [[ method (#358, @mikmart).

  • modify(), modify_if() and modify_at() now preserve the class of atomic vectors instead of promoting them to lists. New S3 methods are provided for character, logical, double, and integer classes (@t-kalinowski, #417).

  • By popular request, at_depth() has been brought back as map_depth(). Like modify_depth(), it applies a function at a specified level of a data structure. However, it transforms all traversed vectors up to .depth to bare lists (#381).

  • map_at(), modify_at() and lmap_at() accept negative values for .at, ignoring elements at those positions.

  • map() and modify() now work with calls and pairlists (#412).

  • modify_depth() now modifies atomic leaves as well. This makes modify_depth(x, 1, fn) equivalent to modify(x, fn) (#359).

  • New accumulate2() function which is to accumulate() what reduce2() is to reduce().


  • New rate_backoff() and rate_delay() functions to create rate objects. You can pass rates to insistently(), slowly(), or the lower level function rate_sleep(). This will cause a function to wait for a given amount of time with exponential backoff (increasingly larger waiting times) or for a constant delay.

  • insistently(f) modifies a function, f, so that it is repeatedly called until it succeeds (@richierocks, @ijlyttle).

    slowly() modifies a function so that it waits for a given amount of time between calls.


The interface of partial() has been simplified. It now supports quasiquotation to control the timing of evaluation, and the rlang::call_modify() syntax to control the position of partialised arguments.

  • partial() now supports empty ... = argument to specify the position of future arguments, relative to partialised ones. This syntax is borrowed from (and implemented with) rlang::call_modify().

    To prevent partial matching of ... on ...f, the latter has been renamed to .f, which is more consistent with other purrr function signatures.

  • partial() now supports quasiquotation. When you unquote an argument, it is evaluated only once at function creation time. This is more flexible than the .lazy argument since you can control the timing of evaluation for each argument. Consequently, .lazy is soft-deprecated (#457).

  • Fixed an infinite loop when partialised function is given the same name as the original function (#387).

  • partial() now calls as_closure() on primitive functions to ensure argument matching (#360).

  • The .lazy argument of partial() is soft-deprecated in favour of quasiquotation:

    # Before
    partial(fn, u = runif(1), n = rnorm(1), .lazy = FALSE)
    # After
    partial(fn, u = !!runif(1), n = !!rnorm(1))  # All constant
    partial(fn, u = !!runif(1), n = rnorm(1))    # First constant

Minor improvements and fixes

  • The tibble package is now in Suggests rather than Imports. This brings the hard dependency of purrr to just rlang and magrittr.

  • compose() now returns an identity function when called without inputs.

  • Functions created with compose() now have the same formal parameters as the first function to be called. They also feature a more informative print method that prints all composed functions in turn (@egnha, #366).

  • New .dir argument in compose(). When set to "forward", the functions are composed from left to right rather than right to left.

  • list_modify() now supports the zap() sentinel (reexported from rlang) to remove elements from lists. Consequently, removing elements with the ambiguous sentinel NULL is soft-deprecated.

  • The requirements of list_modify() and list_merge() have been relaxed. Previously it required both the modified lists and the inputs to be either named or unnamed. This restriction now only applies to inputs in .... When inputs are all named, they are matched to the list by name. When they are all unnamed, they are matched positionally. Otherwise, this is an error.

  • Fixed ordering of names returned by accumulate_right() output. They now correspond to the order of inputs.

  • Fixed names of accumulate() output when .init is supplied.

  • compose() now supports composition with lambdas (@ColinFay, #556)

  • Fixed a pmap() crash with empty lists on the Win32 platform (#565).

  • modify_depth now has .ragged argument evaluates correctly to TRUE by default when .depth < 0 (@cderv, #530).

  • accumulate() now inherits names from their first input (@AshesITR, #446).

  • attr_getter() no longer uses partial matching. For example, if an x object has a labels attribute but no label attribute, attr_getter("label")(x) will no longer extract the labels attribute (#460, @huftis).

  • flatten_dfr() and flatten_dfc() now aborts if dplyr is not installed. (#454)

  • imap_dfr() now works with .id argument is provided (#429)

  • list_modify(), update_list() and list_merge() now handle duplicate duplicate argument names correctly (#441, @mgirlich).

  • map_raw, imap_raw, flatten_raw, invoke_map_raw, map2_raw and pmap_raw added to support raw vectors. (#455, @romainfrancois)

  • flatten() now supports raw and complex elements.

  • array_branch() and array_tree() now retain the dimnames() of the input array (#584, @flying-sheep)

  • pluck() no longer flattens lists of arguments. You can still do it manually with !!!. This change is for consistency with other dots-collecting functions of the tidyverse.

  • map_at(), lmap_at() and modify_at() now supports selection using vars() and tidyselect (@ColinFay, #608).

    Note that for now you need to import vars() from dplyr or call it qualified like dplyr::vars(). It will be reexported from rlang in a future release.

  • detect() now has a .default argument to specify the value returned when nothing is detected (#622, @ColinFay).

Life cycle

.dir arguments

We have standardised the purrr API for reverse iteration with a common .dir argument.

  • reduce_right() is soft-deprecated and replaced by a new .dir argument of reduce():

    # Before:
    reduce_right(1:3, f)
    # After:
    reduce(1:3, f, .dir = "backward")

    Note that the details of the computation have changed. Whereas reduce_right() computed f(f(3, 2), 1), it now computes f(1, f(2, 3)). This is the standard way of reducing from the right.

    To produce the exact same reduction as reduce_right(), simply reverse your vector and use a left reduction:

    # Before:
    reduce_right(1:3, f)
    # After:
    reduce(rev(1:3), f)
  • reduce2_right() is soft-deprecated without replacement. It is not clear what algorithmic properties should a right reduction have in this case. Please reach out if you know about a use case for a right reduction with a ternary function.

  • accumulate_right() is soft-deprecated and replaced by the new .dir argument of accumulate(). Note that the algorithm has slightly changed: the accumulated value is passed to the right rather than the left, which is consistent with a right reduction.

    # Before:
    accumulate_right(1:3, f)
    # After:
    accumulate(1:3, f, .dir = "backward")
  • The .right argument of detect() and detect_index() is soft-deprecated and renamed to .dir for consistency with other functions and clarity of the interface.

    # Before
    detect(x, f, .right = TRUE)
    # After
    detect(x, f, .dir = "backward")

Simplification of partial()

The interface of partial() has been simplified (see more about partial() below):

  • The .lazy argument of partial() is soft-deprecated in favour of quasiquotation.

  • We had to rename ...f to .f in partial() in order to support ... = argument (which would otherwise partial-match on ...f). This also makes partial() more consistent with other purrr function signatures.

Retirement of invoke()

invoke() and invoke_map() are retired in favour of exec(). Note that retired functions are no longer under active development, but continue to be maintained undefinitely in the package.

  • invoke() is retired in favour of the exec() function, reexported from rlang. exec() evaluates a function call built from its inputs and supports tidy dots:

    # Before:
    invoke(mean, list(na.rm = TRUE), x = 1:10)
    # After
    exec(mean, 1:10, !!!list(na.rm = TRUE))

    Note that retired functions are not removed from the package and will be maintained undefinitely.

  • invoke_map() is retired without replacement because it is more complex to understand than the corresponding code using map(), map2() and exec():

    # Before:
    invoke_map(fns, list(args))
    invoke_map(fns, list(args1, args2))
    # After:
    map(fns, exec, !!!args)
    map2(fns, list(args1, args2), function(fn, args) exec(fn, !!!args))

Other lifecycle changes

  • %@% is soft-deprecated, please use the operator exported in rlang instead. The latter features an interface more consistent with @ as it uses NSE, supports S4 fields, and has an assignment variant.

  • Removing elements from lists using NULL in list_modify() is soft-deprecated. Please use the new zap() sentinel reexported from rlang instead:

      # Before:
      list_modify(x, foo = NULL)
      # After:
      list_modify(x, foo = zap())

    This change is motivated by the ambiguity of NULL as a deletion sentinel because NULL is also a valid value in lists. In the future, NULL will set an element to NULL rather than removing the element.

  • rerun() is now in the questioning stage because we are no longer convinced NSE functions are a good fit for purrr. Also, rerun(n, x) can just as easily be expressed as map(1:n, ~ x) (with the added benefit of being passed the current index as argument to the lambda).

  • map_call() is defunct.

purrr 0.2.5

  • This is a maintenance release following the release of dplyr 0.7.5.

purrr 0.2.4

  • Fixes for R 3.1.

purrr 0.2.3

Breaking changes

We noticed the following issues during reverse dependencies checks:

  • If reduce() fails with this message: Error: `.x` is empty, and no `.init` supplied, this is because reduce() now returns .init when .x is empty. Fix the problem by supplying an appropriate argument to .init, or by providing special behaviour when .x has length 0.

  • The type predicates have been migrated to rlang. Consequently the bare-type-predicates documentation topic is no longer in purrr, which might cause a warning if you cross-reference it.


purrr no longer depends on lazyeval or Rcpp (or dplyr, as of the previous version). This makes the dependency graph of the tidyverse simpler, and makes purrr more suitable as a dependency of lower-level packages.

There have also been two changes to eliminate name conflicts between purrr and dplyr:

  • order_by(), sort_by() and split_by() have been removed. order_by() conflicted with dplyr::order_by() and the complete family doesn't feel that useful. Use tibbles instead (#217).

  • contains() has been renamed to has_element() to avoid conflicts with dplyr (#217).


The plucking mechanism used for indexing into data structures with map() has been extracted into the function pluck(). Plucking is often more readable to extract an element buried in a deep data structure. Compare this syntax-heavy extraction which reads non-linearly:


to the equivalent pluck:

x %>% pluck(1, accessor, "foo")

Map helpers

  • as_function() is now as_mapper() because it is a tranformation that makes sense primarily for mapping functions, not in general (#298). .null has been renamed to .default to better reflect its intent (#298). .default is returned whenever an element is absent or empty (#231, #254).

    as_mapper() sanitises primitive functions by transforming them to closures with standardised argument names (using rlang::as_closure()). For instance + is transformed to function(.x, .y) .x + .y. This results in proper argument matching so that map(1:10, partial(-, .x = 5)) produces list(5 - 1, 5 - 2, ...).

  • Recursive indexing can now extract objects out of environments (#213) and S4 objects (#200), as well as lists.

  • attr_getter() makes it possible to extract from attributes like map(list(iris, mtcars), attr_getter("row.names")).

  • The argument list for formula-functions has been tweaked so that you can refer to arguments by position with ..1, ..2, and so on. This makes it possible to use the formula shorthand for functions with more than two arguments (#289).

  • possibly(), safely() and friends no longer capture interrupts: this means that you can now terminate a mapper using one of these with Escape or Ctrl + C (#314)

Map functions

  • All map functions now treat NULL the same way as an empty vector (#199), and return an empty vector if any input is an empty vector.

  • All map() functions now force their arguments in the same way that base R does for lapply() (#191). This makes map() etc easier to use when generating functions.

  • A new family of "indexed" map functions, imap(), imap_lgl() etc, provide a short-hand for map2(x, names(x)) or map2(x, seq_along(x)) (#240).

  • The data frame suffix _df has been (soft) deprecated in favour of _dfr to more clearly indicate that it's a row-bind. All variants now also have a _dfc for column binding (#167). (These will not be terribly useful until dplyr::bind_rows()/dplyr::bind_cols() have better semantics for vectors.)

Modify functions

A new modify() family returns the same output of the type as the input .x. This is in contrast to the map() family which always returns a list, regardless of the input type.

The modify functions are S3 generics. However their default methods should be sufficient for most classes since they rely on the semantics of [<-. modify.default() is thus a shorthand for x[] <- map(x, f).

  • at_depth() has been renamed to modify_depth().

  • modify_depth() gains new .ragged argument, and negative depths are now computed relative to the deepest component of the list (#236).

New functions

  • auto_browse(f) returns a new function that automatically calls browser() if f throws an error (#281).

  • vec_depth() computes the depth (i.e. the number of levels of indexing) or a vector (#243).

  • reduce2() and reduce2_right() make it possible to reduce with a 3 argument function where the first argument is the accumulated value, the second argument is .x, and the third argument is .y (#163).

  • list_modify() extends stats::modifyList() to replace by position if the list is not named.(#201). list_merge() operates similarly to list_modify() but combines instead of replacing (#322).

  • The legacy function update_list() is basically a version of list_modify that evaluates formulas within the list. It is likely to be deprecated in the future in favour of a tidyeval interface such as a list method for dplyr::mutate().

Minor improvements and bug fixes

  • Thanks to @dchiu911, the unit test coverage of purrr is now much greater.

  • All predicate functions are re-exported from rlang (#124).

  • compact() now works with standard mapper conventions (#282).

  • cross_n() has been renamed to cross(). The _n suffix was removed for consistency with pmap() (originally called map_n() at the start of the project) and transpose() (originally called zip_n()). Similarly, cross_d() has been renamed to cross_df() for consistency with map_df().

  • every() and some() now return NA if present in the input (#174).

  • invoke() uses a more robust approach to generate the argument list (#249) It no longer uses lazyeval to figure out which enviroment a character f comes from.

  • is_numeric() and is_scalar_numeric() are deprecated because they don't test for what you might expect at first sight.

  • reduce() now throws an error if .x is empty and .init is not supplied.

  • Deprecated functions flatmap(), map3(), map_n(), walk3(), walk_n(), zip2(), zip3(), zip_n() have been removed.

  • pmap() coerces data frames to lists to avoid the expensive [.data.frame which provides security that is unneeded here (#220).

  • rdunif() checks its inputs for validity (#211).

  • set_names() can now take a function to tranform the names programmatically (#276), and you can supply names in ... to reduce typing even more more (#316). set_names() is now powered by rlang::set_names().

  • safely() now actually uses the quiet argument (#296).

  • transpose() now matches by name if available (#164). You can override the default choice with the new .names argument.

  • The function argument of detect() and detect_index() have been renamed from .p to .f. This is because they have mapper semantics rather than predicate semantics.


This is a compatibility release with dplyr 0.6.0.

  • All data-frame based mappers have been removed in favour of new functions and idioms in the tidyverse. dmap(), dmap_at(), dmap_if(), invoke_rows(), slice_rows(), map_rows(), by_slice(), by_row(), and unslice() have been moved to purrrlyr. This is a bit of an aggresive change but it allows us to make the dependencies much lighter.

purrr 0.2.2

  • Fix for dev tibble support.

  • as_function() now supports list arguments which allow recursive indexing using either names or positions. They now always stop when encountering the first NULL (#173).

  • accumulate and reduce correctly pass extra arguments to the worker function.

purrr 0.2.1

  • as_function() gains a .null argument that for character and numeric values allows you to specify what to return for null/absent elements (#110). This can be used with any map function, e.g. map_int(x, 1, .null = NA)

  • as_function() is now generic.

  • New is_function() that returns TRUE only for regular functions.

  • Fix crash on GCC triggered by invoke_rows().

purrr 0.2.0

New functions

  • There are two handy infix functions:

    • x %||% y is shorthand for if (is.null(x)) y else x (#109).
    • x %@% "a" is shorthand for attr(x, "a", exact = TRUE) (#69).
  • accumulate() has been added to handle recursive folding. It is shortand for Reduce(f, .x, accumulate = TRUE) and follows a similar syntax to reduce() (#145). A right-hand version accumulate_right() was also added.

  • map_df() row-binds output together. It's the equivalent of plyr::ldply() (#127)

  • flatten() is now type-stable and always returns a list. To return a simpler vector, use flatten_lgl(), flatten_int(), flatten_dbl(), flatten_chr(), or flatten_df().

  • invoke() has been overhauled to be more useful: it now works similarly to map_call() when .x is NULL, and hence map_call() has been deprecated. invoke_map() is a vectorised complement to invoke() (#125), and comes with typed variants invoke_map_lgl(), invoke_map_int(), invoke_map_dbl(), invoke_map_chr(), and invoke_map_df().

  • transpose() replaces zip2(), zip3(), and zip_n() (#128). The name more clearly reflects the intent (transposing the first and second levels of list). It no longer has fields argument or the .simplify argument; instead use the new simplify_all() function.

  • safely(), quietly(), and possibly() are experimental functions for working with functions with side-effects (e.g. printed output, messages, warnings, and errors) (#120). safely() is a version of try() that modifies a function (rather than an expression), and always returns a list with two components, result and error.

  • list_along() and rep_along() generalise the idea of seq_along(). (#122).

  • is_null() is the snake-case version of is.null().

  • pmap() (parallel map) replaces map_n() (#132), and has typed-variants suffixed pmap_lgl(), pmap_int(), pmap_dbl(), pmap_chr(), and pmap_df().

  • set_names() is a snake-case alternative to setNames() with stricter equality checking, and more convenient defaults for pipes: x %>% set_names() is equivalent to setNames(x, x) (#119).

Row based functionals

We are still figuring out what belongs in dplyr and what belongs in purrr. Expect much experimentation and many changes with these functions.

  • map() now always returns a list. Data frame support has been moved to map_df() and dmap(). The latter supports sliced data frames as a shortcut for the combination of by_slice() and dmap(): x %>% by_slice(dmap, fun, .collate = "rows"). The conditional variants dmap_at() and dmap_if() also support sliced data frames and will recycle scalar results to the slice size.

  • map_rows() has been renamed to invoke_rows(). As other rows-based functionals, it collates results inside lists by default, but with column collation this function is equivalent to plyr::mdply().

  • The rows-based functionals gain a .to option to name the output column as well as a .collate argument. The latter allows to collate the output in lists (by default), on columns or on rows. This makes these functions more flexible and more predictable.

Bug fixes and minor changes

  • as_function(), which converts formulas etc to functions, is now exported (#123).

  • rerun() is correctly scoped (#95)

  • update_list() can now modify an element called x (#98).

  • map*() now use custom C code, rather than relying on lapply(), mapply() etc. The performance characteristcs are very similar, but it allows us greater control over the output (#118).

  • map_lgl() now has second argument .f, not .p (#134).

Deprecated functions

  • flatmap() -> use map() followed by the appropriate flatten().

  • map_call() -> invoke().

  • map_n() -> pmap(); walk_n() -> pwalk().

  • map3(x, y, z) -> map_n(list(x, y, z)); walk3(x, y, z) ->pwalk(list(x, y, z))`

Reference manual

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0.3.4 by Lionel Henry, a year ago,

Report a bug at

Browse source code at

Authors: Lionel Henry [aut, cre] , Hadley Wickham [aut] , RStudio [cph, fnd]

Documentation:   PDF Manual  

GPL-3 | file LICENSE license

Imports magrittr, rlang

Suggests covr, crayon, dplyr, knitr, rmarkdown, testthat, tibble, tidyselect

Imported by AOV1R, ARPALData, AovBay, BAwiR, BENMMI, BFS, BMRSr, BatchGetSymbols, BayesMallows, BayesianLaterality, Bchron, CGPfunctions, CKMRpop, COINr, CPAT, CPBayes, CSGo, CaPO4Sim, ChangePointTaylor, ClusTorus, CohortPlat, ColorNameR, DCLEAR, DCPO, DSSAT, DSpoty, DataFakeR, DataPackageR, DiagrammeR, Dict, DisImpact, EIX, ERSA, EcotoneFinder, Epi, EpiNow2, EventStudy, ExpertChoice, FSK2R, FSinR, FitUltD, GPSeqClus, GerminaR, GetBCBData, GetDFPData2, GetFREData, GetQuandlData, GillespieSSA2, GlmSimulatoR, HDSpatialScan, HLMdiag, HostSwitch, HotellingEllipse, HyRiM, IBMPopSim, ICBioMark, ICD10gm, ImputeRobust, JSmediation, JumpeR, LAGOSNE, LDAShiny, LIHKGr, MPGE, MPTmultiverse, MRFcov, MarginalMediation, MazamaCoreUtils, MetaUtility, NACHO, NHSDataDictionaRy, NIMAA, Nmisc, OCSdata, OOS, OVtool, PAMmisc, PAMpal, PHEindicatormethods, PLNmodels, PVplr, PWFSLSmoke, PheVis, PopED, PortalHacienda, ProbReco, R6P, RAQSAPI, RCT, REddyProc, RKorAPClient, RMAT, ROMDB, RPresto, RPyGeo, RSDA, RTD, RTL, RVA, RVenn, RavenR, RawHummus, Rcurvep, RevEcoR, ReviewR, Riex, Rnumerai, RtD3, Rwtss, SCORPIUS, SCtools, SEERaBomb, SIBER, SIPDIBGE, SP2000, SSLR, STRMPS, SUNGEO, SWMPrExtension, SemNeT, SeqNet, ShinyTester, SimBIID, SingleCaseES, SkeweDF, SpiceFP, SunsVoc, SwimmeR, TITAN2, TSstudio, TidyMultiqc, Tplyr, TriDimRegression, TwitterAutomatedTrading, UCSCXenaShiny, VancouvR, VicmapR, WRTDStidal, WikidataQueryServiceR, WoodSimulatR, XPolaris, aRbs, abjutils, abmR, academictwitteR, acroname, actuaryr, adaptalint, addinsJoaoMelo, additive, adheRenceRX, adobeanalyticsr, ahnr, alookr, alphavantager, altR2, altfuelr, amt, analysisPipelines, anomalize, anybadger, anyflights, apa, applicable, arabic2kansuji, areal, arena2r, ari, arrow, assemblerr, audrex, autoCovariateSelection, autoMrP, automagic, autothresholdr, babelwhale, baguette, basecamb, basedosdados, batata, bayesCT, bayesian, bayesmodels, bayesmove, bayesnec, bayesrules, bcdata, bdl, beadplexr, bestNormalize, biogrowth, bioinactivation, biomartr, biomod2, bipartiteD3, bitmexr, bnmonitor, boxr, breathtestcore, breathteststan, brickr, brolgar, broom, broom.helpers, broom.mixed, bsplus, bumbl, bupaR, butcher, cSEM, campfin, cansim, card, casen, casino, cassandRa, catchr, cattonum, causact, causalCmprsk, ccmReportR, cdcfluview, censo2017, censys, cepR, ceramic, ceser, cheatR, cheatsheet, cheese, chess, childsds, chinese.misc, chorrrds, chronicle, cimir, circumplex, clinDR, clockify, clustermq, cmdfun, cmstatr, coalitions, codebook, coefplot, colocalized, colorDF, colorednoise, colorfindr, colorizer, communication, compstatr, comtradr, concordance, conflr, confoundr, conmet, connectwidgets, consortr, convergEU, correlationfunnel, corrr, cort, cosinor2, covTestR, covid19india, covid19us, covidcast, covidregionaldata, cqcr, crawl, crimedata, cropgrowdays, crossmap, crosstable, crplyr, crsra, crsuggest, crypto2, cspp, csvwr, cubelyr, customsteps, cutpointr, cvCovEst, cvms, cylcop, cytominer, d3po, daiR, dann, daqapo, data.validator, datacleanr, datadogr, datapackage.r, dataspice, datastructures, datazoom.amazonia, dbglm, dbparser, dbplot, dbplyr, dccvalidator, dcurves, decorators, deeplr, deepredeff, depigner, describedata, descstat, detrendr, devtoolbox, dfoliatR, dials, diathor, diceR, did2s, discrim, dispositionEffect, dkanr, dlookr, dm, dmtools, docreview, docxtools, docxtractr, dotwhisker, dragon, drawsample, dreamer, dupree, dynfeature, dyngen, dynparam, dynplot, dynutils, dynwrap, eGST, eSDM, easyalluvial, ech, echarts4r, echor, edeaR, eechidna, eemR, eesim, egor, eiCompare, eia, elaborator, elevatr, emayili, emba, embed, emuR, encryptr, eph, epidata, epigraphdb, ergm, ergm.ego, escalation, estatapi, esvis, etrader, europepmc, evaluator, eventr, exampletestr, exuber, eye, eyetrackingR, ezEDA, ezcox, ezmmek, ezpickr, factory, fasstr, fbar, fcaR, fcuk, fdapaceShiny, featuretoolsR, fedmatch, fedregs, ferrn, ffp, ffscrapr, fgdr, fgeo, fgeo.analyze, fgeo.plot, fgeo.tool, filesstrings, finalfit, finetune, fipe, fitbitr, fitzRoy, flair, flametree, flexsurv, flipbookr, flipr, foieGras, forecastHybrid, forecastML, forestControl, forestError, forestecology, forestmangr, fpp2, fpp3, frenchdata, ftDK, ftExtra, functiondepends, funneljoin, furrr, fuzzr, fuzzyjoin, gMOIP, galigor, garchmodels, gbfs, genderBR, genius, geniusr, genogeographer, geofi, geometr, geoviz, getLattes, ggPMX, ggVennDiagram, ggasym, ggbuildr, ggbump, ggdag, ggedit, gghighlight, ggiraph, ggiraphExtra, gglogo, ggmap, ggmosaic, ggpacman, ggpage, ggpubr, ggstatsplot, ggstream, ggthemes, ghypernet, giphyr, gitdown, gitignore, gitlabr, glancedata, gmgm, googleAnalyticsR, googleCloudVisionR, googleLanguageR, googleTagManageR, googledrive, googlenlp, googlesheets, googlesheets4, graphTweets, gratia, gratis, gravity, gregRy, grizbayr, grobblR, groupdata2, groupr, gtsummary, gutenbergr, hablar, hacksaw, hdpGLM, healthcareai, healthyR,, healthyR.ts, healthyverse, heemod, helsinki, hettx, heuristicsmineR, highcharter, higlasso, hindex, hlaR, hlidacr, hockeyR, holodeck, homologene, hpiR, htsr, httk, hurricaneexposure, icesTAF, icpsrdata, idbr, idmodelr, ihpdr, ijtiff, imager, impactr, incgraph, infer, influxdbr, insane, insee, intensegRid, interplot, inti, iotables, ipeadatar, ipmr, ipumsr, irtplay, isoreader, isotracer, ivdesc, janitor, journalabbr, jpmesh, jsmodule, jsontools, jstable, justifier, karel, keyATM, kibior, kiwisR, kntnr, konfound, lambdaTS, lcsm, lfmm, linne, litteR, livechatR, lmeresampler, luz, lvmisc, mailmerge, manifestoR, mapbayr, mapboxapi, mapboxer, mason, matahari, mathpix, matsbyname, matsindf, maxcombo, mbRes, mboxr, mcmcderive, mcmcr, mcvis, medrxivr, meetupapi, mem, memery, messydates, metR, metaDigitise, metaboData, metabolic, metabolighteR, metagam, metajam, metan, metathis, metawho, methcon5, miRetrieve, miWQS, microservices, migest, migraph, mkin, mlbstatsR, mleap, mlflow, mlr3shiny, mnis, mobr, modeldb, modelgrid, modelr, modeltests, modeltime, modeltime.ensemble, modeltime.gluonts, modeltime.h2o, modeltime.resample, moexer, monoClust, morphemepiece, motifr, mpcmp,, msSPChelpR, msgr, mshap, muHVT, multibridge, multicolor, multifear, multinma, multiverse, namer, nandb, naniar, nanostringr, ncappc, neo4r, nesRdata, nettskjemar, nevada, nfl4th, nflseedR, nhdR, nlist, nlrx, nls.multstart, noah, nonet, normalr, nullabor, obliqueRSF, ojsr, omicwas, onemapsgapi, oolong, openair, opencage, opitools, optiSel, osfr, oysteR, pairwiseComparisons, palaeoSig, pammtools, panelr, params, parcats, parqr, parsermd, parsnip, partR2, partition, pathlibr, pathviewr, pathwayTMB, patrick, patternize, pdi, peRspective, personalr, petrinetR, pewdata, pguIMP, pharmaRTF, phenofit, photosynthesis, phylopath, piecemaker, piecepackr, pinnacle.API, piwikproR, pkgdown, plot3logit, plotly, plsmod, pm4py, pocketapi, poio, poissonreg, polished, pollen, postlightmercury, povcalnetR, ppseq, prcr, precisely, precommit, predict3d, prevtoinc, priceR, prider, prism, processR, processmapR, projects, proteus, protti, psfmi, psychmeta, psyntur, ptvapi, puls, purrrlyr, qccrs, qiitr, qsort, qsub, qtl2ggplot, qtl2pattern, qualmap, qualtRics, quokar, r2dii.match, r4lineups, r6methods, rATTAINS, rKolada, rRofex, rainette, ravelRy, rayrender, rbedrock, rbenvo, rdfp, rdrop2, readOffice, readabs, readrba, readsdr, readtextgrid, rearrr, recipes, regexTestR, regions, regrrr, reliabilitydiag, retroharmonize, reval, reveneraR, revulyticsR, rextendr, rfacebookstat, rfieldclimate, rfishbase, rgenius, rgoogleads, rhierbaps, riingo, riskCommunicator, rmapzen, rmdcev, rmsfuns, rmweather, rmytarget, rnr, roadoi, robber, rock, roclang, roistats, romic, roptions, roxygen2, rrtable, rsample, rsbp, rscorecard, rsetse, rstanemax, rstatix, rstudio.prefs, rticulate, rtodoist, rtrek, rtypeform, rules, ruta, ryandexdirect, rym, rzentra, safetyGraphics, salesforcer, salty, sampler, sapfluxnetr, saqgetr, sbm, scCAN, schemr, scipub, sclr, scriptName, secuTrialR, seecolor, seer, sense, sergeant, servosphereR, sfcr, shiny.semantic, shinyMolBio, shinyobjects, shinyrecipes, shinyypr, siconfir, sift, sigmajs, sigminer, silicate, simTool, simfinR, simglm, simhelpers, simlandr, simplevis, simrel, simstandard, simts, sitar, siteymlgen, sjPlot, sjmisc, sjstats, sketch, skewlmm, skimr, sknifedatar, slippymath, sloop, snap,, sociome, sovereign, spAddins, sparklyr, sparklyr.nested, spatialTIME, spatialsample, specr, speech, splashr, spotidy, spotifyr, spup, ssrn, stabiliser, stacks, staggered, starschemar, starter, starvz, statnipokladna, statsExpressions, stevemisc, stlcsb, stminsights, strm, studentlife, styler, subscreen, sudachir, sugarbag, supernova, survParamSim, surveydata, survivalAnalysis, survminer, swfscDAS, swissdd, swissparl, swmmr, syllabifyr, symphony, tableschema.r, tabr, tabshiftr, tabularmaps, tabulator, tabxplor, tauturri, tbrf, tealeaves, telemac, tensorr, tergm, term, text, texter, textfeatures, textrecipes, tfaddons, tfestimators, themis, thinkr, threesixtygiving, tibbletime, tibblify, tidyHeatmap, tidyMicro, tidyREDCap, tidyRSS, tidyUSDA, tidyboot, tidycensus, tidycode, tidycomm, tidydice, tidygate, tidygenomics, tidygeoRSS, tidyjson, tidymodels, tidync, tidyndr, tidypaleo, tidyposterior, tidypredict, tidyquant, tidyqwi, tidyr, tidyrules, tidyselect, tidyseurat, tidystats, tidytext, tidytidbits, tidytreatment, tidytuesdayR, tidyverse, tidywikidatar, timetk, tinyscholar, tipr, togglr, tongfen, totalcensus, track2KBA, tradepolicy, trainR, trelliscopejs, trendyy, trialr, truthiness, tsfeatures, tuber, tune, twilio, ukbtools, ukpolice, understandBPMN, unpivotr, unstruwwel, unusualprofile, upstartr, uptasticsearch, useful, usemodels, usethat, usethis, utile.tables,, utile.visuals, vagalumeR, valhallr, vannstats, varsExplore, veccompare, viafr, visdat, vkR, vosonSML, votesmart, voxel, walmartAPI, washex, waterquality, wcde, webTRISr, webchem, webr, weed, weibulltools, whSample, widgetframe, widyr, wildviz, wordbankr, wordgraph, wordpiece, workflowsets, worldmet, wpa, wrappedtools, xaringanthemer, xesreadR, xmrr, xpose, xspliner, yatah, ymlthis, youtubecaption, ypr, zdeskR, zipangu.

Depended on by ZIprop, csurvey, disk.frame, ggraptR, stratvns.

Suggested by APAtree, DAISIE, DOPE, EGAnet, Ecfun, MSEtool, NMproject, PostcodesioR, RBesT, SemiEstimate, ShinyItemAnalysis, SimDesign, TransPhylo, UMR, VarBundle, altair, avocado, bigQueryR, c3, circle, colocr, countytimezones, cuml, cuml4r, d3r, danstat, datafsm, dataverse, desctable, diffdf, dodgr, dplyr, edgarWebR, era, eurlex, facerec, faux, fc, fourierin, fredr, funprog, ganalytics, ggdist, ggformula, ggparliament, ggraph, golem, gravitas, heddlr, himach, htmlTable, httr2, humanize, industRial, inops, kayadata, kerastuneR, knitrProgressBar, languageserver, latex2exp, leaflet, legislatoR, listarrays, listdown, lognorm, macleish, mikropml, minidown, mixdir, nflfastR, nomisr, opendatatoronto, peruse, platowork, plsmselect, progressr, projmgr, promises, purgeR, quanteda, rAltmetric, raw, rdflib, regmedint, repurrrsive, rnoaa, rpmodel, rscopus, rtdists, santoku, segmentr, seqhandbook, simITS, smd, sparkxgb, ssdtools, strex, sweep, tabnet, taipan, taxadb, tibble, tidybayes, tidysq, tidyxl, torchaudio, truelies, tvgeom, twoxtwo, txtq, valr, vegawidget, vindecodr, vinereg, vroom, winch, workloopR, yardstick, zeallot.

See at CRAN