0.1.0

abcdutils 0.1.0

First release of the abcdutils package to facilitate working with NDA's ABCD dataset.

• Initial package release, including:

  • utility functions:
    • dummy: generate dummy variables
    • col_to_num: convert specific factor columns to numeric
    • col_to_fac: convert specific character columns to numeric
  • tbi functions:
    • rename_tbi: provide meaningful column names to abcd_otbi01.txt
    • original_otbi_names: view original abcd_otbi01.txt column names
    • identify_all_tbi: label mTBIs and moderate/severe TBIs
    • identify_mtbi: identify which mechanism of injury counts as an mTBI
    • identify_mtbi_times: identify time since most recent mTBI
    • identify_latest_mtbi_mechanism: identify mechanism of injury for latest mTBI
    • identify_num_mtbi: identify how many mTBIs a subject sustained
    • identify_latest_mtbi_loc: identify LOC time for latest mTBI
    • identify_latest_mtbi_mem_daze: identify if memory loss / feeling dazed or confused occurred for latest mTBI
    • detail_mtbi: apply all other TBI functions to a dataframe
  • extraction functions:
    • get_mtbi_subjects
    • get_cbcl_aggressive_r
    • get_cbcl_anxiety_r
    • get_cbcl_attention_r
    • get_cbcl_depress_r
    • get_cbcl_dizzy
    • get_cbcl_headaches
    • get_cbcl_overtired
    • get_cbcl_sleeping_less
    • get_cbcl_sleeping_more
    • get_cbcl_vomiting
    • get_cort_sa
    • get_cort_t
    • get_exercise
    • get_family_function
    • get_full_sleep_df
    • get_gord_cor
    • get_gord_var
    • get_headaches
    • get_income
    • get_loneliness
    • get_mtbi_age
    • get_mtbi_count
    • get_mtbi_loc
    • get_mtbi_mechanism
    • get_mtbi_mem_daze
    • get_nihtbx_cardsort_fc
    • get_nihtbx_list_fc
    • get_nihtbx_pattern_fc
    • get_parent_psychopathology
    • get_prosocial_behaviour
    • get_pubertal_status
    • get_race
    • get_screen_time
    • get_sex
    • get_sports_and_activities
    • get_subc_cor
    • get_subc_v
    • get_subc_var
    • get_wmnd
  • subsetting functions:
    • filter_timepoint: (isolate to specific data collection year)
    • filter_subjects: (isolate to provided list of subjects)
  • data dictionary functions:
    • remove_dd: remove the data dictionary from a dataframe
    • search_dd: open the data dictionary search results for a string
    • abcd_dd: open the data dictionary page for a data item's short name
  • plotting functions:
    • vis_missing_by_df: visualize missing data across multiple dataframes

• Added a NEWS.md file to track changes to the package.