R: A Multi-Process 'dplyr' Backend

# A Multi-Process 'dplyr' Backend

## Documentation for package ‘multidplyr’ version 0.1.4

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

## Help Pages

cluster_assign | Cluster utitility functions
cluster_assign_each | Cluster utitility functions
cluster_assign_partition | Cluster utitility functions
cluster_call | Call a function on each node of a cluster
cluster_copy | Cluster utitility functions
cluster_library | Cluster utitility functions
cluster_rm | Cluster utitility functions
cluster_send | Call a function on each node of a cluster
cluster_utils | Cluster utitility functions
new_cluster | Create a new cluster with sensible defaults.
partition | Partition data across workers in a cluster
party_df | A 'party_df' partitioned data frame