A C D E F G H I J K L M N O P R S T U V W misc
| dataquieR-package | The 'dataquieR' package about Data Quality in Epidemiological Research |
| 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 |
| COMPATIBILITY | Requirement levels of certain metadata columns |
| 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 |
| CONTRADICTIONS | Well-known metadata column names, names of metadata columns |
| contradiction_functions | contradiction_functions |
| contradiction_functions_descriptions | description of the contradiction functions |
| 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 |
| CO_VARS | Well-known metadata column names, names of metadata columns |
| dataquieR | The 'dataquieR' package about Data Quality in Epidemiological Research |
| dataquieR_result | Print a dataquieR result returned by pipeline_vectorized |
| 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 |
| DATA_ENTRY_TYPE | Well-known metadata column names, names of metadata columns |
| DATA_TYPE | Well-known metadata column names, names of metadata columns |
| DATA_TYPES | Data Types |
| DATA_TYPES_OF_R_TYPE | All available data types, mapped from their respective R types |
| DATETIME | Data Types |
| datetime | Data Types |
| DECIMALS | Well-known metadata column names, names of metadata columns |
| DETECTION_LIMITS | Well-known metadata column names, names of metadata columns |
| DETECTION_LIMIT_LOW | Well-known metadata column names, names of metadata columns |
| DETECTION_LIMIT_UP | Well-known metadata column names, names of metadata columns |
| 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) |
| DISTRIBUTION | Well-known metadata column names, names of metadata columns |
| DISTRIBUTIONS | All available probability distributions for acc_shape_or_scale |
| dq_report | Generate a full DQ report |
| dq_report2 | Generate a full DQ report, v2 |
| dq_report_by | Generate a stratified full DQ report |
| enum | Data Types |
| FLOAT | Data Types |
| float | Data Types |
| GROUP_VAR_DEVICE | Well-known metadata column names, names of metadata columns |
| GROUP_VAR_OBSERVER | Well-known metadata column names, names of metadata columns |
| HARD_LIMITS | Well-known metadata column names, names of metadata columns |
| HARD_LIMIT_LOW | Well-known metadata column names, names of metadata columns |
| HARD_LIMIT_UP | Well-known metadata column names, names of metadata columns |
| html_dependency_report_dt | HTML Dependency for report headers in 'DT::datatable' |
| html_dependency_vert_dt | HTML Dependency for vertical headers in 'DT::datatable' |
| INCL_HARD_LIMIT_LOW | Well-known metadata column names, names of metadata columns |
| INCL_HARD_LIMIT_UP | Well-known metadata column names, names of metadata columns |
| INCL_LOCATION_LIMIT_LOW | Well-known metadata column names, names of metadata columns |
| INCL_LOCATION_LIMIT_UP | Well-known metadata column names, names of metadata columns |
| INCL_PROPORTION_LIMIT_LOW | Well-known metadata column names, names of metadata columns |
| INCL_PROPORTION_LIMIT_UP | Well-known metadata column names, names of metadata columns |
| INCL_SOFT_LIMIT_LOW | Well-known metadata column names, names of metadata columns |
| INCL_SOFT_LIMIT_UP | Well-known metadata column names, names of metadata columns |
| INTEGER | Data Types |
| integer | Data Types |
| 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 |
| JUMP_LIST | Well-known metadata column names, names of metadata columns |
| KEY_DATETIME | Well-known metadata column names, names of metadata columns |
| KEY_DEVICE | Well-known metadata column names, names of metadata columns |
| KEY_OBSERVER | Well-known metadata column names, names of metadata columns |
| KEY_STUDY_SEGMENT | Well-known metadata column names, names of metadata columns |
| LABEL | Well-known metadata column names, names of metadata columns |
| LOCATION_LIMIT_LOW | Well-known metadata column names, names of metadata columns |
| LOCATION_LIMIT_UP | Well-known metadata column names, names of metadata columns |
| LOCATION_METRIC | Well-known metadata column names, names of metadata columns |
| LOCATION_RANGE | Well-known metadata column names, names of metadata columns |
| LONG_LABEL | Well-known metadata column names, names of metadata columns |
| 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_cross_item | Data frame with contradiction rules |
| 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 |
| MISSING_LIST | Well-known metadata column names, names of metadata columns |
| MISSING_LIST_TABLE | Well-known metadata column names, names of metadata columns |
| missing_matchtable | Data frame with labels for missing- and jump-codes |
| nres | return the number of result slots in a report |
| numeric | Data Types |
| OPTIONAL | Requirement levels of certain metadata columns |
| PART_VAR | Well-known metadata column names, names of metadata columns |
| 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.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' |
| print.ReportSummaryTable | print implementation for the class 'ReportSummaryTable' |
| PROPORTION_LIMIT_LOW | Well-known metadata column names, names of metadata columns |
| PROPORTION_LIMIT_UP | Well-known metadata column names, names of metadata columns |
| PROPORTION_RANGE | Well-known metadata column names, names of metadata columns |
| pro_applicability_matrix | Check applicability of DQ functions on study data |
| rbind.ReportSummaryTable | Combine 'ReportSummaryTable' outputs |
| RECODE | Well-known metadata column names, names of metadata columns |
| RECOMMENDED | Requirement levels of certain metadata columns |
| REQUIRED | Requirement levels of certain metadata columns |
| 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) |
| 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 |
| set | Data Types |
| SOFT_LIMITS | Well-known metadata column names, names of metadata columns |
| SOFT_LIMIT_LOW | Well-known metadata column names, names of metadata columns |
| SOFT_LIMIT_UP | Well-known metadata column names, names of metadata columns |
| SPLIT_CHAR | Character used by default as a separator in meta data such as missing codes |
| STRING | Data Types |
| string | Data Types |
| study_data | Data frame with the study data whose quality is being assessed |
| STUDY_SEGMENT | Well-known metadata column names, names of metadata columns |
| summary.dataquieR_resultset | Summarize a dataquieR report |
| summary.dataquieR_resultset2 | Generate a report summary table |
| TECHNICAL | Requirement levels of certain metadata columns |
| TIME_VAR | Well-known metadata column names, names of metadata columns |
| UNKNOWN | Requirement levels of certain metadata columns |
| 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_assign_levlabs | utility function to assign labels to levels |
| util_as_color | convert a character to a specific ordered factor |
| util_as_numeric | Convert factors to label-corresponding numeric values |
| util_attach_attr | Attach attributes to an object and return it |
| util_backtickQuote | utility function to set string in backticks |
| util_bQuote | Put in back-ticks |
| 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_correct_variable_use2 | Check referred variables |
| util_count_expected_observations | Count Expected Observations |
| util_count_NA | Support function to count number of 'NA's |
| 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_evaluate_calls | Generate a full DQ report, v2 |
| 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_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_vars_in_segment | Return all variables in the segment 'segment' |
| util_get_var_att_names_of_level | Get variable attributes of a certain provision level |
| 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_interpret_limits | Utility function to interpret mathematical interval notation |
| util_interpret_range | Utility function to interpret mathematical interval notation for numeric ranges |
| 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_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_observations_in_subgroups | Utility function observations in subgroups |
| util_observation_expected | Detect Expected Observations |
| 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_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_par_pmap | Utility function parallel version of 'purrr::pmap' |
| util_prepare_dataframes | util_prepare_dataframes |
| 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_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_setup_rstudio_job | Set up an RStudio job |
| util_set_dQuoteString | Utility function to put strings in quotes |
| util_set_size | Attaches attributes about the recommended minimum absolute sizes to the plot p |
| util_set_sQuoteString | Utility function single quote string |
| 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_warning | Produce a warning message with a useful short stack trace. |
| util_warn_unordered | Warn about a problem in 'varname', if 'x' has no natural order |
| VALUE_LABELS | Well-known metadata column names, names of metadata columns |
| VARATT_REQUIRE_LEVELS | Requirement levels of certain metadata columns |
| variable | Data Types |
| variable attribute | Well-known metadata column names, names of metadata columns |
| variable list | Data Types |
| variable roles | Variable roles can be one of the following: |
| VARIABLE_ORDER | Well-known metadata column names, names of metadata columns |
| VARIABLE_ROLE | Well-known metadata column names, names of metadata columns |
| VARIABLE_ROLES | Variable roles can be one of the following: |
| VAR_NAMES | Well-known metadata column names, names of metadata columns |
| WELL_KNOWN_META_VARIABLE_NAMES | Well-known metadata column names, names of metadata columns |
| $.dataquieR_result | Extract elements of a 'dataquieR' Result Object |
| ..manual | Holds parts of the manual at run-time |
| .dataquieR_resultset2 | Internal constructor for the internal class dataquieR_resultset2. |
| .menu_env | '.menu_env' - an environment for HTML menu creation |
| .meta_data_env | '.meta_data_env' - an environment for easy metadata access |
| .util_internal_normalize_meta_data | Make normalizations of v2.0 item_level metadata. |
| .variable_arg_roles | Variable-argument roles |
| [.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 |