Package index • peekbankr

All functions
`append_relative_cdi_scores()`	Adds a relative cdi score indicating the percentage of total achievable points the subject got on each given measure
`cleanup_cdi_data()`	Checks cdi data for inconsistencies, warns about them, and fixes them
`connect_to_peekbank()`	Connect to Peekbank
`ds.add_aois()`	Add AOIs to an xy dataframe
`ds.get_json_fields()`	Fetching the list of field names and requirements in each table according to the schema json file
`ds.get_peekjson()`	parse json file from peekbank github into a dataframe
`ds.get_processed_data()`	Download peekbank processed dataset from OSF
`ds.get_raw_data()`	Download specific peekbank dataset from OSF
`ds.is_table_required()`	Check if a certain table is required according to schema
`ds.list_coding_methods()`	Get the coding method list from json schema file
`ds.list_ds_tables()`	List the tables required based on coding method
`ds.list_language_choices()`	List current allowed language choices for db import
`ds.map_columns()`	Function for mapping raw data columns to processed table columns
`ds.normalize_times()`	sets the starting point of a given trial to be zero
`ds.put_processed_data()`	Put processed data for specific peekbank dataset on OSF
`ds.resample_times()`	This function resample times to be consistent across labs.
`ds.rezero_times()`	sets the starting point of a given trial to be zero
`ds.validate_for_db_import()`	check all csv files against database schema for database import
`ds.validate_table()`	Check if a dataframe/table is compliant to peekbank json before database import
`ds.validate_trial_uniqueness_constraint()`	Check if within aoi_timepoints table, there is no duplication in all the administration_ids associated with each individual trial_id
`get_administrations()`	Get administrations
`get_aoi_region_sets()`	Get AOI region sets
`get_aoi_timepoints()`	Get AOI timepoints
`get_datasets()`	Get datasets
`get_db_info()`	Get information on database connection options
`get_sql_query()`	Run a SQL Query script on the Peekbank database
`get_stimuli()`	Get stimuli
`get_subjects()`	Get subjects
`get_trial_types()`	Get trial types
`get_trials()`	Get trials
`get_xy_timepoints()`	Get XY timepoints
`list_peekbank_tables()`	List of peekbank tables
`populate_cdi_percentiles()`	Populate the provided cdi data with percentile values for that specific age, instrument_type, measure and language. Loosely based on the work from this repo https://github.com/kachergis/cdi-percentiles/tree/main by George Kachergis and Jess Mankewitz with advice from Virginia Marchman.
`unpack_aux_data()`	Unpack the json sting in the *_aux_data column and turns it into a nested R list

Reference

All functions