$.dataquieR_result      Extract elements of a 'dataquieR' Result Object
..manual                Holds parts of the manual at run-time
.util_internal_normalize_meta_data
                        Make normalizations of v2.0 item_level
                        metadata.
.variable_arg_roles     Variable-argument roles
DATA_TYPES              Data Types
DATA_TYPES_OF_R_TYPE    All available data types, mapped from their
                        respective R types
DF_ELEMENT_COUNT        Data frame level metadata attribute name
DF_ID_REF_TABLE         Data frame level metadata attribute name
DF_ID_VARS              Data frame level metadata attribute name
DF_NAME                 Data frame level metadata attribute name
DF_RECORD_CHECK         Data frame level metadata attribute name
DF_RECORD_COUNT         Data frame level metadata attribute name
DF_UNIQUE_ID            Data frame level metadata attribute name
DF_UNIQUE_ROWS          Data frame level metadata attribute name
DISTRIBUTIONS           All available probability distributions for
                        acc_shape_or_scale
SEGMENT_ID_TABLE        Segment level metadata attribute name
SEGMENT_ID_VARS         Segment level metadata attribute name
SEGMENT_PART_VARS       Segment level metadata attribute name
SEGMENT_RECORD_CHECK    Segment level metadata attribute name
SEGMENT_RECORD_COUNT    Segment level metadata attribute name
SEGMENT_UNIQUE_ROWS     Segment level metadata attribute name
SPLIT_CHAR              Character used by default as a separator in
                        meta data such as missing codes
VARATT_REQUIRE_LEVELS   Requirement levels of certain metadata columns
VARIABLE_ROLES          Variable roles can be one of the following:
WELL_KNOWN_META_VARIABLE_NAMES
                        Well-known metadata column names, names of
                        metadata columns
[.dataquieR_result      Extract Parts of a 'dataquieR' Result Object
[.dataquieR_resultset2
                        Get a subset of a 'dataquieR' 'dq_report2'
                        report
[[.dataquieR_result     Extract Elements of a 'dataquieR' Result Object
acc_distributions       Plots and checks for distributions
acc_distributions_loc   Plots and checks for distributions - Location
acc_distributions_loc_ecdf
                        Plots and checks for distributions - Location,
                        ECDF
acc_distributions_prop
                        Plots and checks for distributions - Proportion
acc_distributions_prop_ecdf
                        Plots and checks for distributions -
                        Proportion, ECDF
acc_end_digits          Extension of acc_shape_or_scale to examine
                        uniform distributions of end digits
acc_loess               Smoothes and plots adjusted longitudinal
                        measurements
acc_margins             Estimate marginal means, see emmeans::emmeans
acc_multivariate_outlier
                        Calculate and plot Mahalanobis distances
acc_robust_univariate_outlier
                        Identify univariate outliers by four different
                        approaches
acc_shape_or_scale      Compare observed versus expected distributions
acc_univariate_outlier
                        Identify univariate outliers by four different
                        approaches
acc_varcomp             Estimates variance components
as.data.frame.dataquieR_resultset
                        Convert a full 'dataquieR' report to a
                        'data.frame'
as.list.dataquieR_resultset
                        Convert a full 'dataquieR' report to a 'list'
cause_label_df          Data frame with labels for missing- and
                        jump-codes
check_table             Data frame with contradiction rules
com_item_missingness    Summarize missingness columnwise (in variable)
com_qualified_item_missingness
                        Compute Indicators for Qualified Item
                        Missingness
com_qualified_segment_missingness
                        Compute Indicators for Qualified Segment
                        Missingness
com_segment_missingness
                        Summarizes missingness for individuals in
                        specific segments
com_unit_missingness    Counts all individuals with no measurements at
                        all
con_contradictions      Checks user-defined contradictions in study
                        data
con_contradictions_redcap
                        Checks user-defined contradictions in study
                        data
con_detection_limits    Detects variable values exceeding detection
                        limits
con_hard_limits         Detects variable values exceeding hard limits
con_inadmissible_categorical
                        Detects variable levels not specified in
                        metadata
con_limit_deviations    Detects variable values exceeding limits
                        defined in metadata
con_soft_limits         Detects variable values exceeding soft limits
contradiction_functions
                        contradiction_functions
contradiction_functions_descriptions
                        description of the contradiction functions
dataquieR               The 'dataquieR' package about Data Quality in
                        Epidemiological Research
dataquieR_resultset     Internal constructor for the internal class
                        dataquieR_resultset.
dataquieR_resultset2    Internal constructor for the internal class
                        dataquieR_resultset2.
dataquieR_resultset_verify
                        Verify an object of class dataquieR_resultset
dim.dataquieR_resultset2
                        Get the dimensions of a 'dq_report2' result
dimensions              Names of DQ dimensions
dimnames.dataquieR_resultset2
                        Names of a 'dataquieR' report object (v2.0)
dq_report               Generate a full DQ report
dq_report2              Generate a full DQ report, v2
dq_report_by            Generate a stratified full DQ report
html_dependency_report_dt
                        HTML Dependency for report headers in
                        'DT::datatable'
html_dependency_vert_dt
                        HTML Dependency for vertical headers in
                        'DT::datatable'
int_all_datastructure_dataframe
                        Wrapper function to check for studies data
                        structure
int_all_datastructure_segment
                        Wrapper function to check for segment data
                        structure
int_datatype_matrix     Check declared data types of metadata in study
                        data
int_duplicate_content   Check for duplicated content
int_duplicate_ids       Check for duplicated IDs
int_part_vars_structure
                        Detect Expected Observations
int_sts_element_dataframe
                        Determine missing and/or superfluous data
                        elements
int_sts_element_segment
                        Checks for element set
int_unexp_elements      Check for unexpected data element count
int_unexp_records_dataframe
                        Check for unexpected data record count at the
                        data frame level
int_unexp_records_segment
                        Check for unexpected data record count within
                        segments
int_unexp_records_set   Check for unexpected data record set
menu_env                '.menu_env' - an environment for HTML menu
                        creation
menu_env-menu           Generate the menu for a report
menu_env_drop_down      Creates a drop-down menu
menu_env_menu_entry     Create a single menu entry
meta_data               Data frame with metadata about the study data
                        on variable level
meta_data_dataframe     Well known columns on the 'meta_data_dataframe'
                        sheet
meta_data_env           '.meta_data_env' - an environment for easy
                        metadata access
meta_data_env_co_vars   Extract co-variables for a given item
meta_data_env_group_vars
                        Extract group variables for a given item
meta_data_env_id_vars   Extract id variables for a given item or
                        variable group
meta_data_env_time_vars
                        Extract measurement time variable for a given
                        item
meta_data_segment       Well known columns on the 'meta_data_segment'
                        sheet
nres                    return the number of result slots in a report
pipeline_recursive_result
                        Convert a pipeline result data frame to named
                        encapsulated lists
pipeline_vectorized     Call (nearly) one "Accuracy" function with many
                        parameterizations at once automatically
prep_add_cause_label_df
                        Convert missing codes in metadata format v1.0
                        and a missing-cause-table to v2.0 missing list
                        / jump list assignments
prep_add_data_frames    Add data frames to the pre-loaded / cache data
                        frame environment
prep_add_missing_codes
                        Insert missing codes for 'NA's based on rules
prep_add_to_meta        Support function to augment metadata during
                        data quality reporting
prep_apply_coding       Re-Code labels with their respective codes
                        according to the 'meta_data'
prep_check_meta_data_dataframe
                        Verify and normalize meta data on data frame
                        level
prep_check_meta_data_segment
                        Verify and normalize meta data on segment level
prep_check_meta_names   Checks the validity of meta data w.r.t. the
                        provided column names
prep_clean_labels       Support function to scan variable labels for
                        applicability
prep_create_meta        Support function to create data.frames of
                        metadata
prep_datatype_from_data
                        Get data types from data
prep_deparse_assignments
                        Convert two vectors from a code-value-table to
                        a key-value list
prep_dq_data_type_of    Get the dataquieR 'DATA_TYPE' of 'x'
prep_expand_codes       Expand code labels across variables
prep_extract_cause_label_df
                        Extract all missing/jump codes from metadata
                        and export a cause-label-data-frame
prep_get_data_frame     Read data from files/URLs
prep_get_user_name      Return the logged-in User's Full Name
prep_link_escape        Prepare a label as part of a link for 'RMD'
                        files
prep_list_dataframes    List Loaded Data Frames
prep_load_workbook_like_file
                        Pre-load a file with named (usually more than)
                        one table(s)
prep_map_labels         Support function to allocate labels to
                        variables
prep_merge_study_data   Merge a list of study data frames to one
                        (sparse) study data frame
prep_meta_data_v1_to_item_level_meta_data
                        Convert item-level metadata from v1.0 to v2.0
prep_min_obs_level      Support function to identify the levels of a
                        process variable with minimum number of
                        observations
prep_pmap               Support function for a parallel 'pmap'
prep_prepare_dataframes
                        Prepare and verify study data with metadata
prep_purge_data_frame_cache
                        Title
prep_study2meta         Guess a meta data frame from study data.
prep_title_escape       Prepare a label as part of a title text for
                        'RMD' files
prep_valuelabels_from_data
                        Get value labels from data
print.ReportSummaryTable
                        print implementation for the class
                        'ReportSummaryTable'
print.dataquieR_result
                        Print a dataquieR result returned by
                        pipeline_vectorized
print.dataquieR_resultset
                        Generate a RMarkdown-based report from a
                        dataquieR report
print.dataquieR_resultset2
                        Generate a RMarkdown-based report from a
                        dataquieR report
print.interval          print implementation for the class 'interval'
pro_applicability_matrix
                        Check applicability of DQ functions on study
                        data
rbind.ReportSummaryTable
                        Combine 'ReportSummaryTable' outputs
resnames                Return names of result slots (e.g., 3rd
                        dimension of dataquieR results)
resnames.dataquieR_resultset2
                        Return names of result slots (e.g., 3rd
                        dimension of dataquieR results)
study_data              Data frame with the study data whose quality is
                        being assessed
summary.dataquieR_resultset
                        Summarize a dataquieR report
summary.dataquieR_resultset2
                        Generate a report summary table
util_abbreviate         Abbreviate snake_case function names to
                        shortened 'CamelCase'
util_adjust_geom_text_for_plotly
                        Place all geom_texts also in 'plotly' right
                        from the x position
util_alias2caption      Create a caption from an alias name of a
                        'dq_report2' result
util_all_intro_vars_for_rv
                        Get all 'PART_VARS' for a response variable
                        (from item-level metadata)
util_all_is_integer     convenience function to abbreviate
                        all(util_is_integer(...))
util_anytime_installed
                        Test, if package 'anytime' is installed
util_app_cd             utility function for the applicability of
                        contradiction checks
util_app_con_contradictions_redcap
                        utility function for the applicability of
                        contradiction checks
util_app_dc             utility function for the applicability of of
                        distribution plots
util_app_dl             utility function to test for applicability of
                        detection limits checks
util_app_ed             utility function for the applicability of of
                        end digits preferences checks
util_app_hl             utility function to test for applicability of
                        hard limits checks
util_app_iac            utility function for the applicability of
                        categorical admissibility
util_app_iav            utility function for the applicability of
                        numeric admissibility
util_app_im             utility function applicability of item
                        missingness
util_app_loess          utility function for applicability of LOESS
                        smoothed time course plots
util_app_mar            utility function to test for applicability of
                        marginal means plots
util_app_mol            utility function applicability of multivariate
                        outlier detection
util_app_ol             utility function for the applicability of
                        outlier detection
util_app_sl             utility function to test for applicability of
                        soft limits checks
util_app_sm             utility function applicability of segment
                        missingness
util_app_sos            utility function applicability of distribution
                        function's shape or scale check
util_app_vc             utility applicability variance components
util_as_color           convert a character to a specific ordered
                        factor
util_as_numeric         Convert factors to label-corresponding numeric
                        values
util_assign_levlabs     utility function to assign labels to levels
util_attach_attr        Attach attributes to an object and return it
util_bQuote             Put in back-ticks
util_backtickQuote      utility function to set string in backticks
util_check_data_type    Verify the data type of a value
util_check_group_levels
                        Check data for observer levels
util_check_one_unique_value
                        Check for one value only
util_combine_missing_lists
                        Combine missing-lists for a set of variables to
                        be displayed in the same heat-map
util_compare_meta_with_study
                        Compares study data data types with the ones
                        expected according to the metadata
util_condition_constructor_factory
                        Produce a condition function
util_coord_flip         return a flip term for 'ggplot2' plots, if
                        desired.
util_copy_all_deps      Copy default dependencies to the report's lib
                        directory
util_correct_variable_use
                        Check referred variables
util_count_NA           Support function to count number of 'NA's
util_count_expected_observations
                        Count Expected Observations
util_create_page_file   Create an HTML file for the dq_report2
util_deparse1           Expression De-Parsing
util_deprecate_soft     Deprecate functions and arguments
util_detect_cores       Detect cores
util_dichotomize        utility function to dichotomize variables
util_dist_selection     Utility function distribution-selection
util_ds1_eval_env       Create an environment with several alias names
                        for the study data variables
util_empty              Test, if values of x are empty, i.e. NA or
                        whitespace characters
util_ensure_character   convert a value to character
util_ensure_data_type   Ensure matching data types
util_ensure_in          similar to match.arg
util_ensure_suggested   Support function to stop, if an optional
                        package is not installed
util_error              Produce an error message with a useful short
                        stack trace. Then it stops the execution.
util_eval_rule          Evaluate a parsed redcap rule for given study
                        data
util_eval_to_dataquieR_result
                        Evaluate an expression and create a
                        'dataquieR_result' object from it's evaluated
                        value
util_evaluate_calls     Generate a full DQ report, v2
util_expect_data_frame
                        Verify, that argument is a data frame
util_expect_scalar      check, if a scalar/vector function argument
                        matches expectations
util_extract_matches    return all matches of an expression
util_filter_missing_list_table_for_rv
                        Filter a 'MISSING_LIST_TABLE' for rows matching
                        the variable 'rv'
util_filter_names_by_regexps
                        Filter collection based on its 'names()' using
                        regular expressions
util_find_external_functions_in_stacktrace
                        Find externally called function in the stack
                        trace
util_find_first_externally_called_functions_in_stacktrace
                        Find first externally called function in the
                        stack trace
util_find_var_by_meta   Try hard, to map a variable
util_fix_rstudio_bugs   RStudio crashes on parallel calls in some
                        versions on Darwin based operating systems with
                        R 4
util_float_index_menu   return a single page navigation menu floating
                        on the right
util_generate_anchor_link
                        Generate a link to a specific result
util_generate_anchor_tag
                        Generate a tag for a specific result
util_generate_calls     Generate an execution/calling plan for
                        computing a report from the metadata
util_generate_calls_for_function
                        Generate function calls for a given indicator
                        function
util_generate_pages_from_report
                        Convert a dataquieR report v2 to a named list
                        of web pages
util_get_code_list      Fetch a missing code list from the metadata
util_get_color_for_result
                        Return the color for a result
util_get_concept_info   Read additional concept tables
util_get_html_cell_for_result
                        Return the html summary table cell for a result
util_get_message_for_result
                        Return messages/warnings/notes/error messages
                        for a result
util_get_redcap_rule_env
                        an environment with functions available for
                        'REDcap' rules
util_get_var_att_names_of_level
                        Get variable attributes of a certain provision
                        level
util_get_vars_in_segment
                        Return all variables in the segment 'segment'
util_gg_var_label       Add labels to 'ggplot'
util_heatmap_1th        Utility Function Heatmap with 1 Threshold
util_html_attr_quote_escape
                        escape "
util_html_table         The jack of all trades device for tables
util_hubert             utility function for the outliers rule of Huber
                        et al.
util_int_duplicate_content_dataframe
                        Check for duplicated content
util_int_duplicate_content_segment
                        Check for duplicated content
util_int_duplicate_ids_dataframe
                        Check for duplicated IDs
util_int_duplicate_ids_segment
                        Check for duplicated IDs
util_int_unexp_records_set_dataframe
                        Check for unexpected data record set
util_int_unexp_records_set_segment
                        Check for unexpected data record set
util_interpret_limits   Utility function to interpret mathematical
                        interval notation
util_interpret_range    Utility function to interpret mathematical
                        interval notation for numeric ranges
util_is_integer         Check for integer values
util_is_na_0_empty_or_false
                        Detect falsish values
util_is_numeric_in      Create a predicate function to check for
                        certain numeric properties
util_load_manual        being called by the active binding function for
                        .manual
util_looks_like_missing
                        Check for repetitive values using the digits 8
                        or 9 only
util_make_data_slot_from_table_slot
                        Rename columns of a 'SummaryTable' (or Segment,
                        ...) to look nice
util_make_function      Make a function capturing errors and other
                        conditions for parallelization
util_map_all            Maps label column meta data on study data
                        variable names
util_map_by_largest_prefix
                        Map based on largest common prefix
util_map_labels         Support function to allocate labels to
                        variables
util_match_arg          'dataquieR' version of match.arg
util_merge_data_frame_list
                        Combine data frames by merging
util_message            Produce a condition message with a useful short
                        stack trace.
util_no_value_labels    Select really numeric variables
util_observation_expected
                        Detect Expected Observations
util_observations_in_subgroups
                        Utility function observations in subgroups
util_only_NAs           identify 'NA'-only variables
util_optimize_histogram_bins
                        Utility function to compute and optimize bin
                        breaks for histograms
util_order_by_order     Get the order of a vector with general order
                        given in some other vector
util_par_pmap           Utility function parallel version of
                        'purrr::pmap'
util_parse_assignments
                        Utility function to parse assignments
util_parse_interval     Utility function to parse intervals
util_parse_redcap_rule
                        Interpret a 'REDcap'-style rule and create an
                        expression, that represents this rule
util_prep_location_check
                        Utility function to prepare the metadata for
                        location checks
util_prep_proportion_check
                        Utility function to prepare the metadata for
                        proportion checks
util_prepare_dataframes
                        util_prepare_dataframes
util_pretty_vector_string
                        Prepare a vector four output
util_rbind              Bind data frames row-based
util_recode             Map a vector of values based on an assignment
                        table
util_remove_empty_rows
                        removes empty rows from 'x'
util_remove_na_records
                        remove all records, that have at least one 'NA'
                        in any of the given variables
util_replace_codes_by_NA
                        Utility function to replace missing codes by
                        'NA's
util_replace_hard_limit_violations
                        Replace limit violations (HARD_LIMITS) by NAs
util_set_dQuoteString   Utility function to put strings in quotes
util_set_sQuoteString   Utility function single quote string
util_set_size           Attaches attributes about the recommended
                        minimum absolute sizes to the plot p
util_setup_rstudio_job
                        Set up an RStudio job
util_sigmagap           Utility function outliers according to the rule
                        of Huber et al.
util_sixsigma           Utility function for six sigma deviations rule
util_sort_by_order      Sort a vector by order given in some other
                        vector
util_stop_if_not        Verify assumptions made by the code, that must
                        be TRUE
util_study_var2factor   Convert a study variable to a factor
util_sub_string_left_from_.
                        Get sub-string left from first '.'
util_sub_string_right_from_.
                        Get sub-string right from first '.'
util_table_of_vct       Tabulate a vector
util_tukey              Utility function Tukey outlier rule
util_validate_known_meta
                        Utility function verifying syntax of known
                        metadata columns
util_validate_missing_lists
                        Validate code lists for missing and/or jump
                        codes
util_variable_references
                        Find all columns in item-level-metadata, that
                        refer to some other variable
util_view_file          View a file in most suitable viewer
util_warn_unordered     Warn about a problem in 'varname', if 'x' has
                        no natural order
util_warning            Produce a warning message with a useful short
                        stack trace.
