.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
DISTRIBUTIONS           All available probability distributions for
                        acc_shape_or_scale
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
acc_distributions       Function to plot histograms added by empirical
                        cumulative distributions for subgroups
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             Function to estimate marginal means, see
                        emmeans::emmeans
acc_multivariate_outlier
                        Function to calculate and plot Mahalanobis
                        distances
acc_robust_univariate_outlier
                        Function to identify univariate outliers by
                        four different approaches
acc_shape_or_scale      Function to compare observed versus expected
                        distributions
acc_univariate_outlier
                        Function to 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'
com_item_missingness    Summarize missingness columnwise (in variable)
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_detection_limits    con_detection_limits
con_inadmissible_categorical
                        Detects variable levels not specified in
                        metadata
con_limit_deviations    Detects variable values exceeding limits
                        defined in metadata
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_resultset_verify
                        Verify an object of class dataquieR_resultset
dimensions              Names of DQ dimensions
dq_report               Generate a full DQ report
dq_report_by            Generate a stratified full DQ report
html_dependency_vert_dt
                        HTML Dependency for vertical headers in
                        'DT::datatable'
int_datatype_matrix     Function to check declared data types of
                        metadata in study data
pipeline_recursive_result
                        Function to 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_to_meta        Support function to augment metadata during
                        data quality reporting
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_map_labels         Support function to allocate labels to
                        variables
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_study2meta         Guess a meta data frame from study data.
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
pro_applicability_matrix
                        Function to check applicability of DQ functions
                        on study data
rbind.ReportSummaryTable
                        Combine 'ReportSummaryTable' outputs
summary.dataquieR_resultset
                        Summarize a dataquieR report
util_anytime_installed
                        Test, if package 'anytime' is installed
util_app_cd             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_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_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_numeric         Convert factors to label-corresponding numeric
                        values
util_assign_levlabs     utility function to assign labels to levels
util_backtickQuote      utility function to set string in backticks
util_check_data_type    Support function to verify the data type of a
                        value
util_check_one_unique_value
                        Check for one value only
util_compare_meta_with_study
                        Compares study data data types with the ones
                        expected according to the metadata
util_correct_variable_use
                        Check referred variables
util_count_NA           Support function to count number of 'NA's
util_count_code_classes
                        count distinct realizations of missing codes of
                        a specific class
util_count_codes        count realizations of missing codes of any
                        class
util_detect_cores       Detect cores
util_dichotomize        utility function to dichotomize variables
util_dist_selection     Utility function distribution-selection
util_empty              Test, if values of x are empty, i.e. NA or
                        whitespace characters
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_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_fix_rstudio_bugs   RStudio crashes on parallel calls in some
                        versions on Darwin based operating systems with
                        R 4
util_get_code_list      Fetch a missing code list from the metadata
util_get_var_att_names_of_level
                        Get variable attributes of a certain provision
                        level
util_heatmap_1th        Utility Function Heatmap with 1 Threshold
util_hubert             utility function for the outliers rule of Huber
                        et al.
util_interpret_limits   Utility function to interpret mathematical
                        interval notation
util_is_integer         Check for integer values
util_looks_like_missing
                        Check for repetitive values using the digits 8
                        or 9 only
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_labels         Support function to allocate labels to
                        variables
util_no_value_labels    Select really numeric variables
util_observations_in_subgroups
                        Utility function observations in subgroups
util_only_NAs           identify 'NA'-only variables
util_par_pmap           Utility function parallel version of
                        'purrr::pmap'
util_parse_assignments
                        Utility function to parse assignments
util_prepare_dataframes
                        util_prepare_dataframes
util_replace_codes_by_NA
                        Utility function to replace missing codes by
                        'NA's
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_sigmagap           Utility function outliers according to the rule
                        of Huber et al.
util_sixsigma           Utility function for six sigma deviations rule
util_tukey              Utility function Tukey outlier rule
util_validate_known_meta
                        Utility function verifying syntax of known
                        metadata columns
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.
