Man pages for dplyr
A Grammar of Data Manipulation

acrossApply a function (or functions) across multiple columns
add_rownamesConvert row names to an explicit variable.
all_equalFlexible equality comparison for data frames
all_varsApply predicate to all variables
arrangeArrange rows by column values
arrange_allArrange rows by a selection of variables
auto_copyCopy tables to same source, if necessary
backend_dbplyrDatabase and SQL generics.
band_membersBand membership
bench_compareEvaluate, compare, benchmark operations of a set of srcs.
betweenDo values in a numeric vector fall in specified range?
bindEfficiently bind multiple data frames by row and column
c_acrossCombine values from multiple columns
case_whenA general vectorised if
check_dbplyrdbplyr compatibility functions
coalesceFind first non-missing element
combineCombine vectors
common_byExtract out common by variables
computeForce computation of a database query
contextContext dependent expressions
copy_toCopy a local data frame to a remote src
countCount observations by group
cumallCumulativate versions of any, all, and mean
defunctDefunct functions
descDescending order
dim_descDescribing dimensions
distinctSubset distinct/unique rows
distinct_allSelect distinct rows by a selection of variables
doDo anything
dplyr_data_maskingArgument type: data-masking
dplyr_extendingExtending dplyr with new data frame subclasses
dplyr-packagedplyr: A Grammar of Data Manipulation
dplyr_tidy_selectArgument type: tidy-select
explainExplain details of a tbl
filterSubset rows using column values
filter_allFilter within a selection of variables
filter-joinsFiltering joins
funsCreate a list of function calls
glimpseGet a glimpse of your data
group_byGroup by one or more variables
group_by_allGroup by a selection of variables
group_by_drop_defaultDefault value for .drop argument of group_by
group_by_prepareSame basic philosophy as group_by_prepare(): lazy_dots comes...
group_colsSelect grouping variables
group_dataGrouping metadata
grouped_dfA grouped data frame.
group_mapApply a function to each group
group_nestNest a tibble using a grouping specification
group_splitSplit data frame by groups
group_trimTrim grouping structure
identFlag a character vector as SQL identifiers
if_elseVectorised if
lead-lagCompute lagged or leading values
locationPrint the location in memory of a data frame
make_tblCreate a "tbl" object
mutateCreate, modify, and delete columns
mutate_allMutate multiple columns
mutate-joinsMutating joins
na_ifConvert values to NA
n_distinctEfficiently count the number of unique values in a set of...
nearCompare two numeric vectors
nest_byNest by one or more variables
nest_joinNest join
new_grouped_dfLow-level construction and validation for the grouped_df and...
nthExtract the first, last or nth value from a vector
order_byA helper function for ordering window function output
progress_estimatedProgress bar with estimated time.
pullExtract a single column
rankingWindowed rank functions.
recodeRecode values
reexportsObjects exported from other packages
relocateChange column order
renameRename columns
rowsManipulate individual rows
rowwiseGroup input by rows
same_srcFigure out if two sources are the same (or two tbl have the...
sample_nSample n rows from a table
scopedOperate on a selection of variables
se-deprecatedDeprecated SE versions of main verbs.
selectSubset columns using their names and types
select_allSelect and rename a selection of variables
select_varsSelect variables
setopsSet operations
sliceSubset rows using their positions
sqlSQL escaping.
srcCreate a "src" object
src_dbiSource for database backends
src_localA local source
src_tblsList all tbls provided by a source.
starwarsStarwars characters
stormsStorm tracks data
summariseSummarise each group to fewer rows
summarise_allSummarise multiple columns
summarise_eachSummarise and mutate multiple columns.
tblCreate a table from a data source
tbl_dfCoerce to a tibble
tbl_ptypeReturn a prototype of a tbl
tbl_varsList variables provided by a tbl.
tidyeval-compatOther tidy eval tools
top_nSelect top (or bottom) n rows (by value)
varsSelect variables
with_groupsPerform an operation with temporary groups
with_orderRun a function with one order, translating result back to...
dplyr documentation built on April 28, 2022, 5:06 p.m.