manip_ffdf: Data manipulation for ffdf.

In edwindj/ffbase2: Dplyr for 'ff'

Description

Data manipulation for ffdf.

Usage

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

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

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

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

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

## S3 method for class 'ffdf'
mutate_(.data, ..., .dots, inplace = FALSE)

## S3 method for class 'tbl_ffdf'
mutate_(.data, ...)

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

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

## S3 method for class 'ffdf'
select_(.data, ..., .dots)

## S3 method for class 'tbl_ffdf'
select_(.data, ..., .dots)

## S3 method for class 'ffdf'
rename_(.data, ..., .dots)

## S3 method for class 'tbl_ffdf'
rename_(.data, ..., .dots)

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

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

do.ffdf(.data, ...)

do.tbl_ffdf(.data, ...)

Arguments

.data	a ffdf
...	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.
.env	The environment in which to evaluate arguments not included in the data. The default should suffice for ordinary usage.

Examples

if (require("hflights")) {
hflights2 <- tbl_ffdf(hflights)
filter(hflights2, Month == 1, DayofMonth == 1, Dest == "DFW")
head(select(hflights2, Year:DayOfWeek))
summarise(hflights2, delay = mean(ArrDelay, na.rm = TRUE), n = length(ArrDelay))
head(mutate(hflights2, gained = ArrDelay - DepDelay))
head(arrange(hflights2, Dest, desc(ArrDelay)))
}

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