| 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... |
| acc_loess | Smoothes and plots adjusted longitudinal measurements and... |
| acc_mahalanobis | Calculate and plot Mahalanobis distances for social science... |
| 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... |
| API_VERSION | Version of the API |
| as.character.interval | 'as.character' implementation for the class 'interval' |
| 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... |
| 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 |
| cash-.dataquieR_resultset2 | Access single results from a dataquieR_resultset2 report |
| cash-set-.dataquieR_resultset2 | Write single results from a dataquieR_resultset2 report |
| CHECK_ID | Cross-item level metadata attribute name |
| CHECK_LABEL | Cross-item level metadata attribute name |
| check_table | Data frame with contradiction rules |
| 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 |
| com_item_missingness | Summarize missingness columnwise (in variable) |
| COMPUTATION_RULE | Cross-item level metadata attribute name |
| COMPUTED_VARIABLE_ROLES | 'SSI' related Cross-item level metadata attribute names... |
| 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... |
| con_limit_deviations | Detects variable values exceeding limits defined in metadata |
| contradiction_functions | contradiction_functions |
| contradiction_functions_descriptions | description of the contradiction functions |
| CONTRADICTION_TERM | Cross-item level metadata attribute name |
| CONTRADICTION_TYPE | Cross-item level metadata attribute name |
| DATA_PREPARATION | Cross-item level metadata attribute name |
| dataquieR | The 'dataquieR' package about Data Quality in Epidemiological... |
| 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... |
| 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... |
| 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... |
| dataquieR.applicability_problem | An exception class assigned for exceptions caused by trying... |
| dataquieR.col_con_con_empirical | Color for empirical contradictions |
| dataquieR.col_con_con_logical | Color for logical contradictions |
| dataquieR.CONDITIONS_LEVEL_TRHESHOLD | Log Level |
| dataquieR.CONDITIONS_WITH_STACKTRACE | Add stack-trace in condition messages (to be deprecated) |
| dataquieR.convert_to_list_for_lapply | If report uses a 'storr' back-end, do not convert to... |
| dataquieR.debug | Call 'browser()' on errors |
| dataquieR.des_summary_hard_lim_remove | Removal of hard limits from data before calculating... |
| dataquieR.dontwrapresults | Disable automatic post-processing of 'dataquieR' function... |
| dataquieR.droplevels_ReportSummaryTable | Show also unused levels in heatmaps |
| dataquieR.dt_adjust | character Adjust data types according to metadata |
| 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.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... |
| dataquieR.force_label_col | Control, how the 'label_col' argument is used. |
| dataquieR.GAM_for_LOESS | Enable to switch to a general additive model instead of LOESS |
| 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_character | For metadata guessing, try to guess DATA_TYPE from the data... |
| dataquieR.guess_missing_codes | Control, if 'dataquieR' tries to guess missing-codes from the... |
| dataquieR.ignore_empty_vars | character remove variables with only empty values |
| dataquieR.intrinsic_applicability_problem | An exception class assigned for exceptions caused by trying... |
| dataquieR.lang | Language-Suffix for metadata Label-Columns |
| dataquieR.lazy_plots | character plots realized lazy |
| dataquieR.lazy_plots_cache | character cache realizations |
| dataquieR.lazy_plots_gg_compatibility | character be as compatible with 'ggplot2' objects as possible |
| dataquieR.locale | character default language for type conversion |
| dataquieR.MAHALANOBIS_THRESHOLD | Default availability of Mahalanobis based multivariate... |
| dataquieR.max_cat_resp_var_levels_in_plot | Maximum number of levels of the categorical response variable... |
| dataquieR.max_group_var_levels_in_plot | Maximum number of levels of the grouping variable shown... |
| dataquieR.max_group_var_levels_with_violins | Maximum number of levels of the grouping variable shown with... |
| dataquieR.MAX_LABEL_LEN | Maximum length for variable labels LABEL |
| dataquieR.MAX_LONG_LABEL_LEN | Maximum length for long variable labels LONG_LABEL |
| dataquieR.MAX_VALUE_LABEL_LEN | Maximum length for value labels |
| dataquieR.MESSAGES_WITH_CALLER | Set caller for message conditions (to be deprecated) |
| dataquieR.min_obs_per_group_var_in_plot | Minimum number of observations per grouping variable that is... |
| dataquieR.min_time_points_for_cat_resp_var | Minimum number of data points to create a time course plot... |
| dataquieR.MULTIVARIATE_OUTLIER_CHECK | Default availability of multivariate outlier checks in... |
| dataquieR.non_disclosure | Remove all observation-level-real-data from reports |
| dataquieR.old_factor_handling | character use the old handling of study data already... |
| dataquieR.old_type_adjust | character use the old type conversion code (slower) |
| dataquieR.precomputeStudyData | Pre-compute different curation levels of study data |
| dataquieR.print_block_load_factor | numeric |
| dataquieR.progress_fkt_default | function to call on progress increase |
| dataquieR.progress_msg_fkt_default | function to call on progress message update |
| dataquieR_resultset | Internal constructor for the internal class... |
| dataquieR_resultset2-class | Class dataquieR_resultset2. |
| dataquieR_resultset_verify | Verify an object of class dataquieR_resultset |
| dataquieR.resume_checkpoint | If result already exists in a 'storr' back-end, re-use it |
| dataquieR.resume_print | If output folder is not empty, try to resume stopped... |
| dataquieR.scale_level_heuristics_control_binaryrecodelimit | Number of levels to consider a variable ordinal in absence of... |
| dataquieR.scale_level_heuristics_control_metriclevels | Number of levels to consider a variable metric in absence of... |
| dataquieR.study_data_cache_max | Maximum size of cache for curated study data |
| dataquieR.study_data_cache_metrics | Collect metrics on cache usage of study data cache |
| dataquieR.study_data_cache_metrics_env | environment for storing metrics on the study data cache |
| dataquieR.study_data_cache_metrics_env_default | Default space for some metrics during report computation |
| dataquieR.study_data_cache_quick_fill | Control the pre-computation of curation levels of study data |
| dataquieR.study_data_colnames_case_sensitive | character Are column names in study data considered... |
| dataquieR.testdebug | Disable all interactively used metadata-based function... |
| dataquieR.traceback | Include full trace-back in captured conditions |
| dataquieR.type_adjust_parallel | character try to do type adjustments in parallel only, if... |
| dataquieR.VALUE_LABELS_htmlescaped | Assume, all VALUE_LABELS are HTML escaped |
| dataquieR.WARNINGS_WITH_CALLER | Set caller for warning conditions (to be deprecated) |
| DATA_TYPES | Data Types |
| DATA_TYPES_OF_R_TYPE | All available data types, mapped from their respective R... |
| Descriptor | Descriptor Function |
| 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 |
| 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 |
| 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 |
| DISTRIBUTIONS | All available probability distributions for... |
| dot-get_internal_api | Get Access to Utility Functions |
| dot-numeric_with_unit | Operator caring for units |
| dot-template_function_indicator | 'Roxygen'-Template for indicator functions |
| dot-variable_arg_roles | Variable-argument roles |
| dq_lazy_ggplot_methods | S3/S7 methods for lazy ggplot objects |
| dq_report | Generate a full DQ report |
| dq_report2 | Generate a full DQ report, v2 |
| dq_report_by | Generate a stratified full DQ report |
| droplevels.ReportSummaryTable | Remove unused levels from 'ReportSummaryTable' |
| GOLDSTANDARD | Cross-item level metadata attribute name |
| grapes-grapes-.numeric_with_unit | Operator caring for units |
| grapes-slash-grapes-.numeric_with_unit | Operator caring for units |
| grid.draw.util_pairs_ggplot_panels | 'grid.draw' method for 'util_pairs_ggplot_panels' objects |
| html_dependency_clipboard | HTML Dependency for report headers in 'clipboard' |
| html_dependency_dataquieR | HTML Dependency for 'dataquieR' |
| html_dependency_jspdf | HTML dependency for 'jsPDF' |
| 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' |
| Indicator | Indicator Function |
| 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... |
| int_unexp_records_segment | Check for unexpected data record count within segments |
| int_unexp_records_set | Check for unexpected data record set |
| IRV | Cross-item level metadata attribute name |
| MAHALANOBIS_THRESHOLD | Cross-item level metadata attribute name |
| MAXIMUM_LONG_STRING | Cross-item level metadata attribute name |
| menu_env_drop_down | Creates a drop-down menu |
| menu_env-menu | Generate the menu for a report |
| menu_env_menu_entry | Create a single menu entry |
| meta_data | Data frame with metadata about the study data on variable... |
| meta_data_computation | Well known columns on the 'item_computation_level' sheet |
| meta_data_cross | Well known columns on the 'cross-item_level' sheet |
| 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_segment | Well known columns on the 'meta_data_segment' sheet |
| MISS_RESP | Cross-item level metadata attribute name |
| MULTIVARIATE_OUTLIER_CHECK | Cross-item level metadata attribute name |
| MULTIVARIATE_OUTLIER_CHECKTYPE | Cross-item level metadata attribute name |
| nres | return the number of result slots in a report |
| pipeline_recursive_result | Convert a pipeline result data frame to named encapsulated... |
| pipeline_vectorized | Call (nearly) one "Accuracy" function with many... |
| plot.dataquieR_summary | Plot a 'dataquieR' summary |
| plus-.numeric_with_unit | Operator caring for units |
| pow-.numeric_with_unit | Operator caring for units |
| prep_acc_distributions_with_ecdf | Utility function to plot a combined figure for distribution... |
| prep_add_cause_label_df | Convert missing codes in metadata format v1.0 and a... |
| 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... |
| 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... |
| prep_apply_coding | Re-Code labels with their respective codes according to the... |
| 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... |
| 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... |
| prep_datatype_from_data | Get data types from data |
| prep_deparse_assignments | Convert two vectors from a code-value-table to a key-value... |
| 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... |
| 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_fix_meta_id_dups | Fix metadata duplicates |
| 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_get_variant | Get machine variant for snapshot tests |
| 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... |
| 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... |
| 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_realize_ggplot | Materialize a lazy 'ggplot' |
| 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... |
| 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.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.DataSlot | Print a 'DataSlot' object |
| 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 |
| print.numeric_with_unit | Print a number with unit |
| 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.util_pairs_ggplot_panels | Print method for 'util_pairs_ggplot_panels' objects |
| pro_applicability_matrix | Check applicability of DQ functions on study data |
| progress_init_fkt | function to call on progress initialization |
| rbind.ReportSummaryTable | Combine 'ReportSummaryTable' outputs |
| RELCOMPL_SPEED | Cross-item level metadata attribute name |
| REL_VAL | Cross-item level metadata attribute name |
| resnames | Return names of result slots (e.g., 3rd dimension of... |
| resnames.dataquieR_resultset2 | Return names of result slots (e.g., 3rd dimension of... |
| RESPT_PER_ITEM | Cross-item level metadata attribute name |
| SCALE_ACRONYM | Cross-item level metadata attribute name TODO |
| SCALE_LEVELS | Scale Levels |
| SCALE_NAME | Cross-item level metadata attribute name TODO |
| 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 |
| slash-.numeric_with_unit | Operator caring for units |
| SPLIT_CHAR | Character used by default as a separator in metadata such as... |
| study_data | Data frame with the study data whose quality is being... |
| sub-.dataquieR_resultset2 | Get a subset of a 'dataquieR' 'dq_report2' report |
| subset-.dataquieR_resultset2 | Write to a report |
| sub-sub-.dataquieR_resultset2 | Get a single result from a dataquieR 2 report |
| sub-subset-.dataquieR_resultset2 | Set a single result from a dataquieR 2 report |
| summary.dataquieR_resultset | Summarize a dataquieR report |
| summary.dataquieR_resultset2 | Generate a report summary table |
| times-.numeric_with_unit | Operator caring for units |
| TOTRESPT | Cross-item level metadata attribute name |
| UNIT_IS_COUNT | Is a unit a count according to 'units::valid_udunits()' |
| UNIT_PREFIXES | Valid unit prefixes according to... |
| UNIT_PREFIX_FACTORS | Factors related to unit prefixes... |
| UNITS | Valid unit symbols according to 'units::valid_udunits()' |
| UNIT_SOURCES | Maturity stage of a unit according to... |
| util_filter_repsum | Delete rows from summary table for 'SSI' or non-'SSI'... |
| util_generate_pages_from_report | Convert a dataquieR report v2 to a named list of web pages |
| util_html_for_dims | Create a dynamic dimension related page for the report |
| util_html_for_var | Create a dynamic single variable page for the report |
| 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_op_numeric_with_unit | Operator caring for units |
| util_translate_indicator_metrics | Translate standard column names to readable ones |
| value-slash-missing-lists | Data frame with labels for missing- and jump-codes #'... |
| VARATT_REQUIRE_LEVELS | Requirement levels of certain metadata columns |
| VARIABLE_LIST | Cross-item level metadata attribute name |
| VARIABLE_LIST_ORDER | Cross-item level metadata attribute name TODO internal use,... |
| VARIABLE_ROLES | Variable roles can be one of the following: |
| WELL_KNOWN_META_VARIABLE_NAMES | Well-known metadata column names, names of metadata columns |
