manip_grouped_ffdf: Data manipulation for grouped data tables.

In edwindj/ffbase2: Dplyr for 'ff'

Description

Data manipulation for grouped data tables.

Usage

## S3 method for class 'grouped_ffdf'
filter_(.data, ..., .dots)

## S3 method for class 'grouped_ffdf'
summarise_(.data, ..., .dots)

mutate.grouped_ffdf(.data, ..., inplace = FALSE)

## S3 method for class 'grouped_ffdf'
arrange_(.data, ..., .dots)

## S3 method for class 'grouped_ffdf'
slice_(.data, ..., .dots)

Arguments

.data	a data table
...	variables interpreted in the context of .data
inplace	if FALSE (the default) the data frame will be copied prior to modification to avoid changes propagating via reference.

Examples

species <-
  iris %>% tbl_ffdf %>%
  group_by(Species)
filter(species, Petal.Width == max(Petal.Width))
summarise(species, Petal.Width=mean(Petal.Width))

edwindj/ffbase2 documentation built on May 15, 2019, 11:05 p.m.