dataquieR.acc_margins_sort {dataquieR}R Documentation

Sort levels of the grouping variable in the 'margins' figures

Description

If this option is set to TRUE, the levels of the grouping variable in the figure are sorted in descending order according to the number of observations so that levels with more observations are easier to identify. Otherwise, the original order of the levels is retained.

See Also

Other options: dataquieR, dataquieR.CONDITIONS_LEVEL_TRHESHOLD, dataquieR.CONDITIONS_WITH_STACKTRACE, dataquieR.ELEMENT_MISSMATCH_CHECKTYPE, dataquieR.ERRORS_WITH_CALLER, dataquieR.GAM_for_LOESS, dataquieR.MAX_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_multivariate_outlier.scale, dataquieR.col_con_con_empirical, dataquieR.col_con_con_logical, dataquieR.debug, dataquieR.des_summary_hard_lim_remove, dataquieR.dontwrapresults, 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_missing_codes, dataquieR.lang, dataquieR.max_group_var_levels_in_plot, dataquieR.max_group_var_levels_with_violins, dataquieR.min_obs_per_group_var_in_plot, dataquieR.non_disclosure, dataquieR.progress_fkt, dataquieR.progress_msg_fkt, dataquieR.scale_level_heuristics_control_binaryrecodelimit, dataquieR.scale_level_heuristics_control_metriclevels, dataquieR.testdebug


[Package dataquieR version 2.5.1 Index]