$.dataquieR_resultset2
                        Access single results from a
                        dataquieR_resultset2 report
$<-.dataquieR_resultset2
                        Write single results from a
                        dataquieR_resultset2 report
ASSOCIATION_DIRECTION   Cross-item level metadata attribute name
ASSOCIATION_FORM        Cross-item level metadata attribute name
ASSOCIATION_METRIC      Cross-item level metadata attribute name
ASSOCIATION_RANGE       Cross-item level metadata attribute name
CHECK_ID                Cross-item level metadata attribute name
CHECK_LABEL             Cross-item level metadata attribute name
CODE_CLASSES            types of value codes
CODE_LIST_TABLE         Default Name of the Table featuring Code Lists
CODE_ORDER              Only existence is checked, order not yet used
CONTRADICTION_TERM      Cross-item level metadata attribute name
CONTRADICTION_TYPE      Cross-item level metadata attribute name
DATA_PREPARATION        Cross-item level metadata attribute name
DATA_TYPES              Data Types
DATA_TYPES_OF_R_TYPE    All available data types, mapped from their
                        respective R types
DF_CODE                 Data frame level metadata attribute name
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
GOLDSTANDARD            Cross-item level metadata attribute name
MULTIVARIATE_OUTLIER_CHECK
                        Cross-item level metadata attribute name
MULTIVARIATE_OUTLIER_CHECKTYPE
                        Cross-item level metadata attribute name
N_RULES                 Cross-item and item level metadata attribute
                        name
REL_VAL                 Cross-item level metadata attribute name
SCALE_LEVELS            Scale Levels
SEGMENT_ID_REF_TABLE    Segment level metadata attribute name
SEGMENT_ID_TABLE        Deprecated segment level metadata attribute
                        name
SEGMENT_ID_VARS         Segment level metadata attribute name
SEGMENT_MISS            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_ID       Segment level metadata attribute name
SEGMENT_UNIQUE_ROWS     Segment level metadata attribute name
SPLIT_CHAR              Character used by default as a separator in
                        metadata such as missing codes
UNITS                   Valid unit symbols according to
                        'units::valid_udunits()'
UNIT_IS_COUNT           Is a unit a count according to
                        'units::valid_udunits()'
UNIT_PREFIXES           Valid unit prefixes according to
                        'units::valid_udunits_prefixes()'
UNIT_SOURCES            Maturity stage of a unit according to
                        'units::valid_udunits()'
UNIVARIATE_OUTLIER_CHECKTYPE
                        Item level metadata attribute name
VARATT_REQUIRE_LEVELS   Requirement levels of certain metadata columns
VARIABLE_LIST           Cross-item level metadata attribute name
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_resultset2
                        Get a subset of a 'dataquieR' 'dq_report2'
                        report
[<-.dataquieR_resultset2
                        Write to a report
[[.dataquieR_resultset2
                        Get a single result from a dataquieR 2 report
[[<-.dataquieR_resultset2
                        Set a single result from a dataquieR 2 report
acc_cat_distributions   Plots and checks for distributions for
                        categorical variables
acc_distributions       Plots and checks for distributions
acc_distributions_ecdf
                        ECDF plots for distribution checks
acc_distributions_loc   Plots and checks for distributions - Location
acc_distributions_only
                        Plots and checks for distributions - only
acc_distributions_prop
                        Plots and checks for distributions - Proportion
acc_end_digits          Extension of acc_shape_or_scale to examine
                        uniform distributions of end digits
acc_loess               Smoothes and plots adjusted longitudinal
                        measurements and longitudinal trends from
                        logistic regression models
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             Utility function to compute model-based ICC
                        depending on the (statistical) data type
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'
as.list.dataquieR_resultset2
                        inefficient way to convert a report to a list.
                        try 'prep_set_backend()'
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_inadmissible_categorical
                        Detects variable levels not specified in
                        metadata
con_inadmissible_vocabulary
                        Detects variable levels not specified in
                        standardized vocabulary
con_limit_deviations    Detects variable values exceeding limits
                        defined in metadata
contradiction_functions_descriptions
                        description of the contradiction functions
dataquieR.CONDITIONS_LEVEL_TRHESHOLD
                        Log Level
dataquieR.CONDITIONS_WITH_STACKTRACE
                        Add stack-trace in condition messages (to be
                        deprecated)
dataquieR.ELEMENT_MISSMATCH_CHECKTYPE
                        Metadata describes more than the current study
                        data
dataquieR.ERRORS_WITH_CALLER
                        Set caller for error conditions (to be
                        deprecated)
dataquieR.GAM_for_LOESS
                        Enable to switch to a general additive model
                        instead of LOESS
dataquieR.MAX_LABEL_LEN
                        Maximum length for variable labels
dataquieR.MAX_VALUE_LABEL_LEN
                        Maximum length for value labels
dataquieR.MESSAGES_WITH_CALLER
                        Set caller for message conditions (to be
                        deprecated)
dataquieR.MULTIVARIATE_OUTLIER_CHECK
                        Default availability of multivariate outlier
                        checks in reports
dataquieR.VALUE_LABELS_htmlescaped
                        Assume, all VALUE_LABELS are HTML escaped
dataquieR.WARNINGS_WITH_CALLER
                        Set caller for warning conditions (to be
                        deprecated)
dataquieR.acc_loess.exclude_constant_subgroups
                        Exclude subgroups with constant values from
                        LOESS figure
dataquieR.acc_loess.mark_time_points
                        Display time-points in LOESS plots
dataquieR.acc_loess.min_bw
                        Lower limit for the LOESS bandwidth
dataquieR.acc_loess.min_proportion
                        Lower limit for the proportion of cases or
                        controls to create a smoothed time trend figure
dataquieR.acc_loess.plot_format
                        default for Plot-Format in 'acc_loess()'
dataquieR.acc_loess.plot_observations
                        Display observations in LOESS plots
dataquieR.acc_margins_num
                        Include number of observations for each level
                        of the grouping variable in the 'margins'
                        figure
dataquieR.acc_margins_sort
                        Sort levels of the grouping variable in the
                        'margins' figures
dataquieR.acc_multivariate_outlier.scale
                        Apply min-max scaling in parallel coordinates
                        figure to inspect multivariate outliers
dataquieR.col_con_con_empirical
                        Color for empirical contradictions
dataquieR.col_con_con_logical
                        Color for logical contradictions
dataquieR.debug         Call 'browser()' on errors
dataquieR.des_summary_hard_lim_remove
                        Removal of hard limits from data before
                        calculating descriptive statistics.
dataquieR.dontwrapresults
                        Disable automatic post-processing of
                        'dataquieR' function results
dataquieR.fix_column_type_on_read
                        Try to avoid fallback to string columns when
                        reading files
dataquieR.flip_mode     Flip-Mode to Use for figures
dataquieR.force_item_specific_missing_codes
                        Converting MISSING_LIST/JUMP_LIST to a
                        MISSING_LIST_TABLE create on list per item
dataquieR.force_label_col
                        Control, how the 'label_col' argument is used.
dataquieR.grading_formats
                        Name of the data.frame featuring a format for
                        grading-values
dataquieR.grading_rulesets
                        Name of the data.frame featuring
                        GRADING_RULESET
dataquieR.guess_missing_codes
                        Control, if 'dataquieR' tries to guess
                        missing-codes from the study data in absence of
                        metadata
dataquieR.lang          Language-Suffix for metadata Label-Columns
dataquieR.max_group_var_levels_in_plot
                        Maximum number of levels of the grouping
                        variable shown individually in figures
dataquieR.max_group_var_levels_with_violins
                        Maximum number of levels of the grouping
                        variable shown with individual histograms
                        ('violins') in 'margins' figures
dataquieR.min_obs_per_group_var_in_plot
                        Minimum number of observations per grouping
                        variable that is required to include an
                        individual level of the grouping variable in a
                        figure
dataquieR.non_disclosure
                        Remove all observation-level-real-data from
                        reports
dataquieR.progress_fkt
                        function to call on progress increase
dataquieR.progress_msg_fkt
                        function to call on progress message update
dataquieR.scale_level_heuristics_control_binaryrecodelimit
                        Number of levels to consider a variable ordinal
                        in absence of SCALE_LEVEL
dataquieR.scale_level_heuristics_control_metriclevels
                        Number of levels to consider a variable metric
                        in absence of SCALE_LEVEL
dataquieR.testdebug     Disable all interactively used metadata-based
                        function argument provision
dataquieR_resultset     Internal constructor for the internal class
                        dataquieR_resultset.
dataquieR_resultset2-class
                        Class dataquieR_resultset2.
dataquieR_resultset_verify
                        Verify an object of class dataquieR_resultset
des_scatterplot_matrix
                        Compute Pairwise Correlations
des_summary             Compute Descriptive Statistics
des_summary_categorical
                        Compute Descriptive Statistics - categorical
                        variables
des_summary_continuous
                        Compute Descriptive Statistics - continuous
                        variables
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)
dims                    Dimension Titles for Prefixes
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_clipboard
                        HTML Dependency for report headers in
                        'clipboard'
html_dependency_dataquieR
                        HTML Dependency for 'dataquieR'
html_dependency_report_dt
                        HTML Dependency for report headers in
                        'DT::datatable'
html_dependency_tippy   HTML Dependency for 'tippy'
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_encoding_errors     Encoding Errors
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
meta_data               Data frame with metadata about the study data
                        on variable level
meta_data_cross         Well known columns on the
                        'meta_data_cross-item' sheet
meta_data_dataframe     Well known columns on the 'meta_data_dataframe'
                        sheet
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
plot.dataquieR_summary
                        Plot a 'dataquieR' summary
prep_acc_distributions_with_ecdf
                        Utility function to plot a combined figure for
                        distribution checks
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_computed_variables
                        Insert missing codes for 'NA's based on rules
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_for_dataquieR_updates
                        Check for package updates
prep_check_meta_data_dataframe
                        Verify and normalize metadata on data frame
                        level
prep_check_meta_data_segment
                        Verify and normalize metadata on segment level
prep_check_meta_names   Checks the validity of metadata w.r.t. the
                        provided column names
prep_clean_labels       Support function to scan variable labels for
                        applicability
prep_combine_report_summaries
                        Combine two report summaries
prep_compare_meta_with_study
                        Verify item-level metadata
prep_create_meta        Support function to create data.frames of
                        metadata
prep_create_meta_data_file
                        Instantiate a new metadata file
prep_create_storr_factory
                        Create a factory function for 'storr' objects
                        for backing a dataquieR_resultset2
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_extract_classes_by_functions
                        Extract old function based summary from data
                        quality results
prep_extract_summary    Extract summary from data quality results
prep_extract_summary.dataquieR_result
                        Extract report summary from reports
prep_extract_summary.dataquieR_resultset2
                        Extract report summary from reports
prep_get_data_frame     Read data from files/URLs
prep_get_labels         Fetch a label for a variable based on its
                        purpose
prep_get_study_data_segment
                        Get data frame for a given segment
prep_get_user_name      Return the logged-in User's Full Name
prep_guess_encoding     Guess encoding of text or text files
prep_link_escape        Prepare a label as part of a link for 'RMD'
                        files
prep_list_dataframes    List Loaded Data Frames
prep_list_voc           All valid voc: vocabularies
prep_load_folder_with_metadata
                        Pre-load a folder with named (usually more
                        than) one table(s)
prep_load_report        Load a 'dq_report2'
prep_load_report_from_backend
                        Load a report from a back-end
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_open_in_excel      Open a data frame in Excel
prep_pmap               Support function for a parallel 'pmap'
prep_prepare_dataframes
                        Prepare and verify study data with metadata
prep_purge_data_frame_cache
                        Clear data frame cache
prep_remove_from_cache
                        Remove a specified element from the data frame
                        cache
prep_render_pie_chart_from_summaryclasses_ggplot2
                        Create a 'ggplot2' pie chart
prep_render_pie_chart_from_summaryclasses_plotly
                        Create a 'plotly' pie chart
prep_robust_guess_data_type
                        Guess the data type of a vector
prep_save_report        Save a 'dq_report2'
prep_scalelevel_from_data_and_metadata
                        Heuristics to amend a SCALE_LEVEL column and a
                        UNIT column in the metadata
prep_set_backend        Change the back-end of a report
prep_study2meta         Guess a metadata data frame from study data.
prep_summary_to_classes
                        Classify metrics from a report summary table
prep_title_escape       Prepare a label as part of a title text for
                        'RMD' files
prep_undisclose         Remove data disclosing details
prep_unsplit_val_tabs   Combine all missing and value lists to one big
                        table
prep_valuelabels_from_data
                        Get value labels from data
print.DataSlot          Print a 'DataSlot' object
print.ReportSummaryTable
                        print implementation for the class
                        'ReportSummaryTable'
print.Slot              Print a 'Slot' object
print.StudyDataSlot     Print a 'StudyDataSlot' object
print.TableSlot         Print a 'TableSlot' object
print.dataquieR_result
                        Print a dataquieR result returned by dq_report2
print.dataquieR_resultset
                        Generate a RMarkdown-based report from a
                        dataquieR report
print.dataquieR_resultset2
                        Generate a HTML-based report from a dataquieR
                        report
print.dataquieR_summary
                        Print a 'dataquieR' summary
print.interval          print implementation for the class 'interval'
print.list              print a list of 'dataquieR_result' objects
print.master_result     Print a 'master_result' object
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_bar_plot           Utility function to create bar plots
util_combine_list_report_summaries
                        Create a data frame containing all the results
                        from summaries of reports
util_compute_SE_skewness
                        Compute SE.Skewness
util_compute_kurtosis   Compute Kurtosis
util_compute_skewness   Compute the Skewness
util_create_report_by_overview
                        Create an overview of the reports created with
                        'dq_report_by'
util_first_row_to_colnames
                        Move the first row of a data frame to its
                        column names
util_get_encoding       Get encoding from metadata or guess it from
                        data
util_has_no_group_vars
                        Utility function to check whether a variable
                        has no grouping variable assigned
util_histogram          Utility function to create histograms
util_margins_bin        Utility function to create a margins plot for
                        binary variables
util_margins_lm         Utility function to create a margins plot from
                        linear regression models
util_margins_nom        Utility function to create a plot similar to
                        the margins plots for nominal variables
util_margins_ord        Utility function to create a plot similar to
                        the margins plots for ordinal variables
util_margins_poi        Utility function to create a margins plot from
                        Poisson regression models
util_plot_categorical_vars
                        Utility function to create plots for
                        categorical variables
util_varcomp_robust     Utility function to compute the rank intraclass
                        correlation
value/missing-lists     Data frame with labels for missing- and
                        jump-codes #' Metadata about value and missing
                        codes
