resample: A "lazy" resample.

In modelr: Modelling Functions that Work with the Pipe

A "lazy" resample.

Description

Often you will resample a dataset hundreds or thousands of times. Storing the complete resample each time would be very inefficient so this class instead stores a "pointer" to the original dataset, and a vector of row indexes. To turn this into a regular data frame, call as.data.frame, to extract the indices, use as.integer.

Usage

resample(data, idx)

Arguments

data	The data frame
idx	A vector of integer indexes indicating which rows have been selected. These values should lie between 1 and nrow(data) but they are not checked by this function in the interests of performance.

See Also

Other resampling techniques: bootstrap(), resample_bootstrap(), resample_partition()

Examples

resample(mtcars, 1:10)

b <- resample_bootstrap(mtcars)
b
as.integer(b)
as.data.frame(b)

# Many modelling functions will do the coercion for you, so you can
# use a resample object directly in the data argument
lm(mpg ~ wt, data = b)

modelr documentation built on March 31, 2023, 5:20 p.m.