Changes in version 1.4.0 (2026-05-24) - Added vignettes: - Creating Baseline Characteristics Tables - Data Cleaning and Preparation - Regression Analysis and Visualization - Model Evaluation and Comparison - Advanced Data Operations - Added merge_by_range() that merges data frames by keys and range matching. Can be used to merge data frames by time ranges, such as merging patient visits with exam results. - Improved return type consistency of first_mode(). - Minor bug fixes and improvements. Changes in version 1.3.0 (2026-03-07) - Added screen_data_list() that screens and joins multi-table clinical data by expression. - Added to_wide() that converts long-format clinical data in database to wide format for analysis and publication. - Added keep_by_keyword() to keep string segment by regex keyword position. Could be used to desensitize character vectors. - Minor bug fixes and improvements. Changes in version 1.2.0 (2026-01-08) - Added data_overview() to get a quick overview of a data frame. It includes diagnostic information about common data issues and gives recommendations for data cleaning. - Added several outlier detection methods: mad_outlier(), zscore_outlier(), iqr_outlier(). - Added merge_by_substring() to merge data frames by substring matching. - Added recursive argument to combine_files(). Changes in version 1.1.1 (2025-12-19) - Fixed PR plot visual inconsistency in classif_model_compare(). - Added remove_inequal argument to value_initial_cleaning(). - Changed the output of vec2code() to a more robust format. - Added a wrapper of vec2code(), where name2code(x) is equivalent to vec2code(names(x)). - Added time_roc_plot() that plot time-dependent ROC curve using timeROC::timeROC(). - baseline_table() now uses invisible return if save_table is TRUE. - No longer showing the default row ids in auto-saved csv tables. - Minor bug fixes and improvements. Changes in version 1.1.0 (2025-10-30) - Added time2 argument to functions that support cox models. - Added cluster argument to functions to utilize robust Robust Covariance Matrix Estimates in cox models and Generalized Estimating Equations in glm models. - Added PRAUC results and PR plot to classif_model_compare(). - Refactored rcs_plot() and added a new predictor_effect_plot() function which can plot linear and categorical effects. - Added exclusion_count() which counts the number of excluded samples at each exclusion criteria. - Added na_min() and na_max(), similar to base::min() and base::max(), but return NA if all values are NA and omit NAs by default. - Fixed ggplot2 4.0.0 compatibility. - Minor improvements. Changes in version 1.0.2 (2025-08-19) - Moved some dependencies from "Imports" to "Suggests". - Added combine_multichoice() which combines multichoice results. - Added common_prefix() to find common prefixes in character vectors. - Added group argument to cut_by() to cut data by quantiles with groupings. - Added char_initial_cleaning() to clean character vectors. - Added indicate_duplicates() to determine duplicate elements, including their first occurrence. - Minor bug fixes and improvements. Changes in version 1.0.1 (2025-06-23) - Fixed potential colname conflict in df_view_nonnum() - Modified code according to the CRAN cookbook. Changes in version 1.0.0 - Initial CRAN submission.