Package index • iidda

All functions

MissingHandlers(): Missing Handlers

add_basal_disease(): Add Basal Disease

add_column_summaries(): Add Column Summaries

add_filter_group_values(): Add Filter Group Values

add_metadata(): Add Metadata

add_provenance(): Add Provenance

all_prep_script_outcomes() successful_prep_script_outcomes() failed_prep_script_outcomes() error_tar(): Prep Script Outcomes

basal_disease(): Basal Disease

blob_to_raw(): Blob to Raw

cell_block(): Cell Block

check_metadata_cols(): Error if columns in the tidy data are not in metadata Schema and if all values in a column are NA

check_tidy_data_cols(): Error if columns in the metadata Schema are not in tidy data

collapse_xlsx_value_columns(): Collapse xlsx Value Columns

combine_weeks(): Combine Weeks

convert_harmonized_metadata(): Convert Harmonized Metadata

convert_metadata_path(): Convert Metadata Path

cp_git_version(): Copy old git File Version

csv_to_json_files(): CSV to JSON Files

data_to_json_files(): Data to JSON Files

disease_coverage_heatmap(): Creates a heatmap that shows disease coverage over the years

do_time_scale_cross_check(): Time Scale Cross Check

drop_empty_rows(): Drop Empty Rows

empty_column_report(): Empty Column Report

empty_is_blank(): Empty is Blank

empty_to_na(): Convert all missing values to NA

epiweek_end_date(): End-Dates of Epiweeks

extract_between_paren() extract_all_between_paren(): Extract Substring Between Parentheses

extract_char_or_blank(): Extract Character or Blank

extract_or_blank(): Extract or Blank

fill_and_wrap(): Fill Template and Wrap the Results

fill_re_template(): Fill Regex Template

fix_csv(): Fix CSV

freq_to_by(): Frequency to By

freq_to_days(): Frequency to Days

get_all_dependencies(): Get all Dependencies

get_canmod_digitization_metadata(): Get CANMOD Digitization Metadata

get_dataset_metadata(): Get Dataset Metadata

get_dataset_path(): Get Dataset path

get_elements(): Get Elements

get_firsts(): Get Firsts

get_items(): Get Items

get_lookup_table(): Get Lookup Table

get_main_script(): Get Main Script

get_source_path(): Get Source Path

get_tracking_metadata(): Read Tracking Metadata

get_unique_col_values(): Unique Column Values

get_with_key(): Get with Key by Regex

git_path_to_raw_github(): Convert GitHub URLs into Raw Format (not working)

group_with_dash(): Simplify String with List of Numbers Grouped by Dashes

harmonization_lookup_tables: Harmonization Lookup Tables

icd_finder(): ICD Finder

identify_scales(): Identify Scales

iidda_data_dictionary(): IIDDA Data Dictionary

iidda_from_single_file(): Create New IIDDA Dataset from Single File

in_git_repo(): In Git Repo

is_empty(): Is Empty

iso_3166_codes(): ISO-3166 and ISO-3166-2 Codes

iso_8601_dateranges(): ISO-8601 Date Ranges

iso_8601_dates(): ISO-8601 Dates

iso_codes(): Iso Codes

json_files_to_csv(): JSON Files to CSV

json_files_to_data(): JSON Files to Data

key_val(): Key-Value

list_dataset_ids(): List Dataset IDs

list_dataset_ids_by_source(): List Dataset IDs by Source

list_dependency_ids(): List Dependency IDs

list_dependency_ids_for_source(): List Dependency IDs for Source

list_dependency_paths(): List Dependency Paths

list_extract(): List Extract

list_file_id(): List File ID

list_prep_script_ids(): List Prep Script IDs

list_resource_ids(): List Resources IDs

list_source_ids(): List Source IDs

list_xpath(): List XPath

lookup(): Lookup Value

make_age_hash_table(): Make Age Hash Table

make_compilation_dependencies(): Make Compilation Dependencies

make_config(): Create IIDDA Config File

make_data_cite_tidy_data(): Make DataCite JSON Metadata

make_dataset_dependencies(): Make Dataset Dependencies

make_dataset_metadata(): Make Dataset Metadata

make_resource_metadata(): Make Resource Metadata

make_source_directory(): Make Source Directory

make_source_metadata(): Make Source Metadata

melt_tracking_table_keys(): Melt Tracking Table Keys (Deprecated)

mock_api_hook(): Mock API Hook

nlist(): Self-Naming List

non_numeric_report(): Non-Numeric Report

normalize_diseases(): Normalize Diseases

open_locally() open_resources_locally() open_all_resources_locally() open_scans_locally() open_digitizations_locally(): Open a Path on Mac OS or Windows

or_pattern(): Or Pattern

pad_weeks(): Pad Weeks

pager(): Pager

parse_columns(): Parse Columns

`%_%` `%+%` `%.%` `%-%`: Paste Operators

pipeline_exploration_starter(): Pipeline Exploration Quick-Start

proj_path(): Project Path

proj_root() in_proj(): Project Root

raw_github(): Construct an URL to Download Single Files from GitHub

read_column_metadata(): Read Column Metadata

read_data_columns(): Read Data Columns

read_data_frame(): Read Data Frame

read_digitized_data(): Read Digitized Data

read_global_metadata(): Read Global Metadata

read_lookup(): Read Lookup

read_prerequisite_data(): Read Prerequisite Data

read_prerequisite_metadata(): Read Prerequisite Metadata

read_prerequisite_paths(): Read Prerequisite Paths

read_resource_metadata(): Read Resource Metadata

read_tidy_data(): Read Tidy Data and Metadata files

read_tracking_tables(): Read Tracking Tables

readme_classic_iidda: README File Template

register_prep_script(): Register Prep Script

relative_paths(): Relative Paths

remote_iidda_git(): Remote IIDDA Git

remove_age() memoise_remove_age(): Remove Age

remove_between_paren(): Remove Parenthesized Substring

return_matched_age_bound(): Matched Age Bound

rm_trailing_slash() rm_leading_slash(): Remove Trailing / Leading Slash

save_result(): Save Results of a Data Prep Script

set_ext(): Set Extension

set_iidda_col_types(): Set IIDDA Column Types

set_types(): Set Data Frame Column Types

source_from_digitization_id(): Source from Digitization ID

sprintf_named(): Lightweight Templating

standards: Standards

statcan_mort_prep(): Prepare Mortality Data from Statistics Canada

strip_blob_github(): Strip Blob

sum_timescales(): Sum Timescales

summarise_dates(): Summarise Dates

summarise_diseases(): Summarise Diseases

summarise_integers(): Summarise Integers

summarise_locations(): Summarise Locations

summarise_periods() summarise_periods_vec(): Summarise Periods

summarise_strings(): Summarise Strings

test_result(): Test Results

time_series_islands(): Time Series Islands

tracking_table_keys: Tracking Table Keys

tracking_tables_with_column(): Which Tracking Tables have a Particular Column

two_field_format(): Two Field Format

unlist_char_list(): Unlist a List of Character Vectors

vsub(): Vectorized String Substitution

wrap_age_patterns(): Wrap Age Patterns

write_data_frame(): Write Data Frame

write_local_data_dictionaries(): Write Local Data Dictionaries

write_tidy_data(): Write Tidy Digitized Data and Metadata

xlsx_diff(): Compare Two Excel Files

xlsx_to_csv(): Excel to CSV