Data Table Back-End for 'dplyr'

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Documentation for package ‘dtplyr’ version 1.3.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

arrange.dtplyr_step	Arrange rows by column values
as.data.frame.dtplyr_step	Force computation of a lazy data.table
as.data.table.dtplyr_step	Force computation of a lazy data.table
as_tibble.dtplyr_step	Force computation of a lazy data.table
collect.dtplyr_step	Force computation of a lazy data.table
complete.dtplyr_step	Complete a data frame with missing combinations of data
compute.dtplyr_step	Force computation of a lazy data.table
count.dtplyr_step	Count observations by group
distinct.dtplyr_step	Subset distinct/unique rows
drop_na.dtplyr_step	Drop rows containing missing values
expand.dtplyr_step	Expand data frame to include all possible combinations of values.
fill.dtplyr_step	Fill in missing values with previous or next value
filter.dtplyr_step	Subset rows using column values
grouped_dt	Create a "lazy" data.table for use with dplyr verbs
group_by.dtplyr_step	Group and ungroup
group_map.dtplyr_step	Apply a function to each group
group_modify.dtplyr_step	Apply a function to each group
head.dtplyr_step	Subset first or last rows
intersect.dtplyr_step	Set operations
lazy_dt	Create a "lazy" data.table for use with dplyr verbs
left_join.dtplyr_step	Join data tables
mutate.dtplyr_step	Create and modify columns
nest.dtplyr_step	Nest
pivot_longer.dtplyr_step	Pivot data from wide to long
pivot_wider.dtplyr_step	Pivot data from long to wide
relocate.dtplyr_step	Relocate variables using their names
rename.dtplyr_step	Rename columns using their names
rename_with.dtplyr_step	Rename columns using their names
replace_na.dtplyr_step	Replace NAs with specified values
select.dtplyr_step	Subset columns using their names
separate.dtplyr_step	Separate a character column into multiple columns with a regular expression or numeric locations
setdiff.dtplyr_step	Set operations
slice.dtplyr_step	Subset rows using their positions
slice_head.dtplyr_step	Subset rows using their positions
slice_max.dtplyr_step	Subset rows using their positions
slice_min.dtplyr_step	Subset rows using their positions
slice_tail.dtplyr_step	Subset rows using their positions
summarise.dtplyr_step	Summarise each group to one row
tail.dtplyr_step	Subset first or last rows
tbl_dt	Create a "lazy" data.table for use with dplyr verbs
transmute.dtplyr_step	Create new columns, dropping old
ungroup.dtplyr_step	Group and ungroup
union.dtplyr_step	Set operations
union_all.dtplyr_step	Set operations
unite.dtplyr_step	Unite multiple columns into one by pasting strings together.