Data Quality in Epidemiological Research


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Documentation for package ‘dataquieR’ version 2.0.1

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dataquieR-package The 'dataquieR' package about Data Quality in Epidemiological Research

-- A --

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_only Plots and checks for distributions - only
acc_distributions_only_ecdf Plots and checks for distributions - only, but with ecdf
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
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'
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

-- C --

cause_label_df Data frame with labels for missing- and jump-codes
CHECK_ID Cross-item level metadata attribute name
CHECK_LABEL Cross-item level metadata attribute name
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
CONTRADICTION_TERM Cross-item level metadata attribute name
CONTRADICTION_TYPE Cross-item level metadata attribute name
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

-- D --

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_PREPARATION Cross-item level metadata attribute name
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)
dims Dimension Titles for Prefixes
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

-- E --

END_DIGIT_CHECK Well-known metadata column names, names of metadata columns
enum Data Types

-- F --

FLOAT Data Types
float Data Types

-- G --

GOLDSTANDARD Cross-item level metadata attribute name
GROUP_VAR_DEVICE Well-known metadata column names, names of metadata columns
GROUP_VAR_OBSERVER Well-known metadata column names, names of metadata columns

-- H --

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'

-- I --

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

-- J --

JUMP_LIST Well-known metadata column names, names of metadata columns

-- K --

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

-- L --

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

-- M --

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 Well known columns on the 'meta_data_cross-item' 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_env_criteria Extract selected outlier criteria for a given item or variable group
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_n_rules Extract outlier rules-number-threshold 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
MULTIVARIATE_OUTLIER_CHECKTYPE Cross-item level metadata attribute name

-- N --

nres return the number of result slots in a report
numeric Data Types
N_RULES Cross-item and item level metadata attribute name

-- O --

OPTIONAL Requirement levels of certain metadata columns

-- P --

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_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_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_report Load a 'dq_report2'
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 Clear data frame cache
prep_save_report Save a 'dq_report2'
prep_study2meta Guess a metadata 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 HTML-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

-- R --

rbind.ReportSummaryTable Combine 'ReportSummaryTable' outputs
RECODE Well-known metadata column names, names of metadata columns
RECOMMENDED Requirement levels of certain metadata columns
REL_VAL Cross-item level metadata attribute name
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)

-- S --

SEGMENT_ID_TABLE 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_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 metadata 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

-- T --

TECHNICAL Requirement levels of certain metadata columns
TIME_VAR Well-known metadata column names, names of metadata columns

-- U --

UNIVARIATE_OUTLIER_CHECKTYPE Item level metadata attribute name
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_ind_functions All indicator functions of 'dataquieR'
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_cast_off Data frame leaves 'haven'
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_cll_nm2fkt_nm Get Function called for a Call Name
util_col_description Get description for a call
util_combine_missing_lists Combine missing-lists for a set of variables to be displayed in the same heat-map
util_combine_res Combine results for Single Variables
util_compare_meta_with_study Compares study data data types with the ones expected according to the metadata
util_compress_ggplots_in_res Remove specific classes from a ggplot 'plot_env' environment
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_label Utility function ensuring valid labels
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_formattable Plots simple HTML tables with background color scale
util_function_description Get description for an indicator function
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_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_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 metadata 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_normalize_cross_item Normalize and check cross-item-level metadata
util_no_value_labels Select really numeric variables
util_observations_in_subgroups Utility function observations in subgroups
util_observation_expected Detect Expected Observations
util_online_ref Creates a Link to our Website
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_plot_figure_no_plotly Plot a 'ggplot2' figure without 'plotly'
util_plot_figure_plotly Plot a 'ggplot2' figure using 'plotly'
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_print Convert single 'dataquieR' result to an 'htmltools' compatible object
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_startsWith_prefix._or_equals_prefix String check for results/combined results
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_table_rotator Rotate 1-row data frames to key-value data frames
util_translate_indicator_metrics Translate standard column names to readable ones
util_tukey Utility function Tukey outlier rule
util_user_hint Save a hint to the user during package load
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

-- V --

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_LIST Cross-item level metadata attribute name
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

-- W --

WELL_KNOWN_META_VARIABLE_NAMES Well-known metadata column names, names of metadata columns

-- misc --

$.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