dataquieR.ELEMENT_MISSMATCH_CHECKTYPE: Metadata describes more than the current study data

In dataquieR: Data Quality in Epidemiological Research

Metadata describes more than the current study data

Description

• none: no check will be provided about the match of variables and records available in the study data and described in the metadata

• exact: There must be a 1:1 match between the study data and metadata regarding data frames and segments variables and records

• subset_u: study data are a subset of metadata. All variables from the study data are expected to be present in the metadata, but one or more variables in the metadata are not expected to be present in the study data. In this case a variable present in the study data but not in the metadata would produce an issue.

• subset_m: metadata are a subset of study data. All variables in the metadata are expected to be present in the study data, but one or more variables in the study data are not expected to be present in the metadata.

See Also

Other options: dataquieR, dataquieR.CONDITIONS_LEVEL_TRHESHOLD, dataquieR.CONDITIONS_WITH_STACKTRACE, dataquieR.ERRORS_WITH_CALLER, dataquieR.GAM_for_LOESS, dataquieR.MAHALANOBIS_THRESHOLD, dataquieR.MAX_LABEL_LEN, dataquieR.MAX_LONG_LABEL_LEN, dataquieR.MAX_VALUE_LABEL_LEN, dataquieR.MESSAGES_WITH_CALLER, dataquieR.MULTIVARIATE_OUTLIER_CHECK, dataquieR.VALUE_LABELS_htmlescaped, dataquieR.WARNINGS_WITH_CALLER, dataquieR.acc_loess.exclude_constant_subgroups, dataquieR.acc_loess.mark_time_points, dataquieR.acc_loess.min_bw, dataquieR.acc_loess.min_proportion, dataquieR.acc_loess.plot_format, dataquieR.acc_loess.plot_observations, dataquieR.acc_margins_num, dataquieR.acc_margins_sort, dataquieR.acc_multivariate_outlier.scale, dataquieR.col_con_con_empirical, dataquieR.col_con_con_logical, dataquieR.convert_to_list_for_lapply, dataquieR.debug, dataquieR.des_summary_hard_lim_remove, dataquieR.dontwrapresults, dataquieR.droplevels_ReportSummaryTable, dataquieR.dt_adjust, dataquieR.fix_column_type_on_read, dataquieR.flip_mode, dataquieR.force_item_specific_missing_codes, dataquieR.force_label_col, dataquieR.grading_formats, dataquieR.grading_rulesets, dataquieR.guess_character, dataquieR.guess_missing_codes, dataquieR.ignore_empty_vars, dataquieR.lang, dataquieR.lazy_plots, dataquieR.lazy_plots_cache, dataquieR.lazy_plots_gg_compatibility, dataquieR.locale, dataquieR.max_cat_resp_var_levels_in_plot, dataquieR.max_group_var_levels_in_plot, dataquieR.max_group_var_levels_with_violins, dataquieR.min_obs_per_group_var_in_plot, dataquieR.min_time_points_for_cat_resp_var, dataquieR.non_disclosure, dataquieR.old_factor_handling, dataquieR.old_type_adjust, dataquieR.precomputeStudyData, dataquieR.print_block_load_factor, dataquieR.progress_fkt_default, dataquieR.progress_msg_fkt_default, dataquieR.resume_checkpoint, dataquieR.resume_print, dataquieR.scale_level_heuristics_control_binaryrecodelimit, dataquieR.scale_level_heuristics_control_metriclevels, dataquieR.study_data_cache_max, dataquieR.study_data_cache_metrics, dataquieR.study_data_cache_metrics_env, dataquieR.study_data_cache_quick_fill, dataquieR.study_data_colnames_case_sensitive, dataquieR.testdebug, dataquieR.traceback, dataquieR.type_adjust_parallel, progress_init_fkt

dataquieR documentation built on Jan. 8, 2026, 5:08 p.m.