R: General Resampling Infrastructure

# General Resampling Infrastructure

## Documentation for package ‘rsample’ version 0.0.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

rsample-package | rsample: General Resampling Infrastructure for R
analysis | Convert an 'rsplit' object to a data frame
apparent | Sampling for the Apparent Error Rate
as.data.frame.rsplit | Convert an 'rsplit' object to a data frame
assessment | Convert an 'rsplit' object to a data frame
attrition | Job Attrition
bootstraps | Bootstrap Sampling
caret2rsample | Convert Resampling Objects to Other Formats
complement | Determine the Assessment Samples
fill | Add Assessment Indicies
form_pred | Extract Predictor Names from Formula or Terms
gather.rset | Gather an 'rset' Object
group_vfold_cv | Group V-Fold Cross-Validation
initial_split | Simple Training/Test Set Splitting
labels.rset | Find Labels from rset Object
labels.rsplit | Find Labels from rsplit Object
labels.vfold_cv | Find Labels from rset Object
loo_cv | Leave-One-Out Cross-Validation
make_strata | Create or Modify Stratification Variables
mc_cv | Monte Carlo Cross-Validation
nested_cv | Nested or Double Resampling
prepper | Wrapper Function for Preparing Recipes
rolling_origin | Rolling Origin Forecast Resampling
rsample | rsample: General Resampling Infrastructure for R
rsample2caret | Convert Resampling Objects to Other Formats
testing | Simple Training/Test Set Splitting
tidy.nested_cv | Tidy Resampling Object
tidy.rset | Tidy Resampling Object
tidy.rsplit | Tidy Resampling Object
tidy.vfold_cv | Tidy Resampling Object
training | Simple Training/Test Set Splitting
vfold_cv | V-Fold Cross-Validation