dplyr (version 0.2)

manip_dt: Data manipulation for data tables.

Description

Data manipulation for data tables.

Usage

# S3 method for data.table
filter(.data, ..., .env = parent.frame())
# S3 method for data.table
summarise(.data, ...)
# S3 method for data.table
mutate(.data, ..., inplace = FALSE)
# S3 method for data.table
arrange(.data, ...)
# S3 method for data.table
select(.data, ...)

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.

.env

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

Examples

if (require("data.table")) {
# If you start with a data table, you end up with a data table
data("hflights", package = "hflights")
hflights <- as.data.table(hflights)
filter(hflights, Month == 1, DayofMonth == 1, Dest == "DFW")
head(select(hflights, Year:DayOfWeek))
summarise(hflights, delay = mean(ArrDelay, na.rm = TRUE), n = length(ArrDelay))
head(mutate(hflights, gained = ArrDelay - DepDelay))
head(arrange(hflights, Dest, desc(ArrDelay)))

# If you start with a tbl, you end up with a tbl
hflights2 <- as.tbl(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)))
}