# Creating Groups from Data

## Documentation for package ‘groupdata2’ version 2.0.5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

groupdata2-package | groupdata2: A package for creating groups from data
%primes% | Find remainder from 'primes' method
%staircase% | Find remainder from 'staircase' method
all_groups_identical | Test if two grouping factors contain the same groups
balance | Balance groups by up- and downsampling
binning | Create groups from your data
collapse_groups | Collapse groups with categorical, numerical, ID, and size balancing
collapse_groups_by | Collapse groups balanced by a single attribute
collapse_groups_by_ids | Collapse groups balanced by a single attribute
collapse_groups_by_levels | Collapse groups balanced by a single attribute
collapse_groups_by_numeric | Collapse groups balanced by a single attribute
collapse_groups_by_size | Collapse groups balanced by a single attribute
create_balanced_groups | Create balanced folds for cross-validation
differs_from_previous | Find values in a vector that differ from the previous value
downsample | Downsampling of rows in a data frame
find_missing_starts | Find start positions that cannot be found in ''data''
find_starts | Find start positions of groups in data
fold | Create balanced folds for cross-validation
group | Create groups from your data
groupdata2 | groupdata2: A package for creating groups from data
group_factor | Create grouping factor for subsetting your data
not_previous | Find values in a vector that differ from the previous value
partition | Create balanced partitions
primes | Find remainder from 'primes' method
ranked_balances | Extract ranked standard deviations from summary
split | Create groups from your data
splt | Split data by a range of methods
staircase | Find remainder from 'staircase' method
summarize_balances | Summarize group balances
summarize_group_cols | Summarize group columns
upsample | Upsampling of rows in a data frame
window | Create groups from your data