resample_df: Generate subsamples from indices

In jrnold/resamplr: Resampling methods

Description

Generate subsamples from manually specified indices of observations in each subsample.

Usage

resample_df(data, ...)

## S3 method for class 'data.frame'
resample_df(data, samples, ...)

## S3 method for class 'grouped_df'
resample_df(data, samples, ...)

Arguments

data	A data frame
...	Arguments passed to methods
samples	A list of integer vectors or an integer vector, with the indices in each subsample.

Value

A data frame with rows for each subsample and the following columns:

train

A list of resample objects. Training sets.

test

A list of resample objects. Test sets.

.id

An integer vector of identifiers

Methods (by class)

• data.frame: Generate subsamples of rows of data frames.

• grouped_df: Generate subsamples of groups of grouped data frames.

Examples

library("dplyr")
# specify subsamples by a list of indices
resample_df(mtcars, samples = c(1:5, 5:10, 15:20))
resample_df(mtcars, samples = c(1:10, 1:15, 5:30))
# with grouped data frames, indices refer to groups
resample_df(group_by(mtcars, mpg), samples = list(c(1:2)))$sample

jrnold/resamplr documentation built on May 20, 2019, 1:05 a.m.