Explicit Key Assumptions for Flat-File Data

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Documentation for package ‘keyed’ version 0.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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add_id	Add identity column
bind_id	Bind data frames with ID handling
bind_keyed	Bind rows of keyed data frames
check_drift	Check for drift from committed snapshot
check_id	Check ID integrity
check_id_disjoint	Check IDs are disjoint across datasets
clear_all_snapshots	Clear all snapshots from cache
clear_snapshot	Clear snapshot for a data frame
commit_keyed	Stamp a data frame as reference
compare_ids	Compare IDs between data frames
compare_keys	Compare key values between two data frames
compare_structure	Compare structure of two data frames
diagnose_join	Diagnose a join before executing
diff.keyed_df	Diff two keyed data frames
extend_id	Extend IDs to new rows
find_duplicates	Find duplicate keys
get_id	Get ID column
get_key_cols	Get key column names
has_id	Check if data frame has IDs
has_key	Check if data frame has a key
key	Define a key for a data frame
key<-	Define a key for a data frame
key_is_valid	Check if the key is still valid
key_status	Get key status summary
list_snapshots	List all snapshots in cache
lock_complete	Assert that data is complete (no missing values anywhere)
lock_coverage	Assert minimum coverage of values
lock_no_na	Assert that columns have no missing values
lock_nrow	Assert row count within expected range
lock_unique	Assert that columns are unique
make_id	Create ID from columns
remove_id	Remove ID column
stamp	Stamp a data frame as reference
summary.keyed_df	Summary method for keyed data frames
unkey	Remove key from a data frame
unwatch	Stop watching a keyed data frame
watch	Watch a keyed data frame for automatic drift detection