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Changelog

Source: NEWS.md

saros 1.6.1.9000 (dev)

New Features

  • Added make_file_links() function for dynamically creating markdown lists with links to files. Extracts document titles from DOCX, PPTX, and PDF file metadata and generates formatted markdown lists. Ideal for creating navigation links in Quarto/RMarkdown documents that point to generated reports in a folder. Supports glob patterns, recursive search, and customizable list formatting (unordered or numbered)
  • Enhanced ggsaver() to automatically apply colour palettes from girafe() global settings when saving plots. This ensures saved PNG/PDF images match the appearance of interactive plots displayed with girafe(). Palette settings can be configured via global_settings_set(fn_name = "girafe", new = list(palette_codes = ...)) and will be automatically applied when saving plots through get_fig_title_suffix_from_ggplot() or direct ggsaver() calls
  • Added folder and file_prefix parameters to get_fig_title_suffix_from_ggplot() for controlling where files are saved and what prefix to use for filenames
  • Enhanced get_fig_title_suffix_from_ggplot() to support global settings inheritance via global_settings_set(), consistent with other saros functions like make_link() and makeme()
  • Unified DOCX plot types: Merged cat_prop_plot_docx and cat_freq_plot_docx into a single cat_plot_docx type, bringing it in line with the cat_plot_html API. The freq parameter now controls whether to create stacked proportion/percentage plots (freq=FALSE, default) or dodged frequency plots (freq=TRUE)
  • Added docx_return_as_mschart parameter to makeme() to control return type for cat_plot_docx. When TRUE, returns the mschart object directly instead of embedding it in an rdocx document, enabling more flexible composition of Word documents

Bug Fixes

  • Fixed colour_palette parameter not being applied in cat_plot_docx output. The mschart library requires colour palettes to be named vectors where names match category levels, and the length must match the number of categories. The function now: (1) names the colour palette vector with category levels, (2) expands the palette with generated colours if user provides fewer colours than categories, and (3) trims the palette if user provides more colours than needed
  • Fixed fig_height_h_barchart2() where hide_axis_text_if_single_variable=TRUE was paradoxically giving larger heights than FALSE. Now correctly detects when axis text has been hidden (via .variable_label_original column) and applies a reduction factor (default 0.6 via multiplier_hide_axis_single_var parameter) plus reduced minimum height, resulting in appropriately smaller plots when axis text is hidden
  • Fixed fig_height_h_barchart2() to properly handle int_plot_html plots with independent variables. The function now forwards to fig_height_h_barchart() with appropriate parameters for interval plots, returning the max parameter value (default 12) while allowing user customization, instead of erroring with “only supports a single indep variable”
  • Fixed n_range2() for int_plot_html plots to report N range per dependent variable instead of total count across all variables. Now correctly calculates sample size separately for each variable and reports the range (e.g., [250-299] when variables have different amounts of missing data)
  • Fixed guess_legend_ncols() in girafe() to properly handle fill aesthetics using expressions like fill = factor(cyl). The function now uses get_fill_levels() to evaluate expressions in data context instead of direct column access, preventing “no non-missing arguments to max; returning -Inf” warnings

Internal Improvements

saros 1.6.1

CRAN release: 2026-01-28

New Features

  • Added quiet parameter to global_settings_reset() to optionally suppress informational messages when resetting global settings to package defaults
  • Addressed issue #510: makeme() now defaults to type = "auto" which intelligently detects the appropriate output type based on dependent variable classes:
    • Numeric variables -> int_plot_html
    • Single character variable -> chr_table_html
    • Factor/ordered or multiple character variables -> cat_plot_html
    • Unsupported types (Date, POSIXct, POSIXt, list, complex) produce clear error messages identifying the problematic variables
    • This eliminates the uninformative “arguments must have same length” error when accidentally providing numeric variables without specifying type. Mixed variable types produce a clear error message suggesting the correct type to use

Bug Fixes

  • Fixed issue #518 where crowd_plots_as_tabset() with save = NULL produced cryptic “object ‘caption’ not found” error. Added proper validation to ensure save parameter is a single logical value (TRUE or FALSE)
  • Fixed txt_from_cat_mesos_plots() where second group (others) proportions incorrectly became zero. Refactored to process each variable separately, ensuring both groups’ proportions are correctly calculated per variable
  • Fixed txt_from_cat_mesos_plots() where n_highest_categories=2 with binary (2-category) variables summed all categories to 1.0, producing uninformative results. Now only applies n_highest_categories when the variable has more categories than the threshold, otherwise uses only the single highest/lowest category
  • Fixed issue #511 where x_axis_label_width parameter had no effect in int_plot_html when no independent variable was present. The apply_label_wrapping() function now correctly wraps .variable_label when indep_length == 0
  • Fixed issue #512 where makeme() with multiple crowds produced identical plots instead of crowd-specific filtered data. The process_crowd_data() function now correctly passes filtered subset_data to make_content() for each crowd, ensuring each plot displays statistics computed from only that crowd’s data subset
  • Fixed txt_from_cat_mesos_plots() to handle cases where .category_order contains NA values by using na.rm = TRUE when calculating max values, preventing “NA/NaN argument” errors
  • Fixed n_rng2() to correctly calculate sample sizes for int_plot_html plots by only checking complete cases on relevant variables (.value and independent variables) instead of all columns in the dataset. Also modified make_content.int_plot_html() to only include necessary columns in the plot object, reducing memory footprint

saros 1.6.0

CRAN release: 2025-11-10

Breaking Changes

  • makeme() returns an empty data.frame instead of NULL when no plot or table can be created, simplifying downstream code (e.g. gt::gt() fails if served NULL)
  • Resolved issue #372 - descend parameter now works correctly with ordered factors while preserving their inherent level ordering. Ordered factors maintain their natural order as the base, but descend can reverse the display order
  • Enhanced custom_palette() to allow priority_palette_codes to supplement base palette when insufficient colors are available
  • Improved color palette handling for explicit NA factor levels when using showNA = "always"

New Features

New Functions and Output Types

  • New output type: makeme(type = "int_plot_html") for interactive interval plots with violin and box plots
  • New function: txt_from_cat_mesos_plots() to generate textual summaries from two categorical mesos-scale plots, highlighting significant differences in selected categories between groups. Supports global settings via global_settings_set() (closes #506)
  • New function: crowd_plots_as_tabset() to convert a list of ggplot2 objects (typically from makeme(crowd = ...)) into Quarto tabsets with automatic height calculation and optional download links. Supports both categorical and interval plots with intelligent auto-detection based on plot layers
  • New exported function: get_fig_title_suffix_from_ggplot() generates figure title suffixes with N range and optional download links for plots

Enhanced Functionality

  • Added support for data_label = "mean" and data_label = "median" in makeme() for type = "cat_*_html" outputs (addresses issue #460)
  • Added data_label_position argument to makeme() allowing data labels to be positioned at “center”, “bottom”, “top”, or “above” bars in categorical plots (addresses issue #365)
  • Enhanced chr_table_html to support multiple independent variables for displaying background context with open-ended text responses
  • Added na_colour parameter to hex_bw() function to allow customization of text color for NA fills (default: “#ffffff”)
  • Added colour_2nd_binary_cat parameter to girafe() for checkbox plots - when set with checked/not_checked, reverses category order so the second category receives the specified color

Sorting Improvements

  • Independent-variable ordering is now computed per dependent variable, allowing indep order to vary per dep; descend_indep now consistently reverses indep order across tables and plots; plots use centralized .indep_order when indep is on the x-axis; ordered indep factors take precedence over sort_indep_by (reversed only when descend_indep=TRUE); legends preserve unused response levels in .category
  • Implemented B1 strategy for direct column-based sorting via whitelists. Allowed keys for dependent variables are now centrally defined and enforced; independent variables use a similar whitelist (including .count_total_indep). This prevents accidental sorting on arbitrary or missing columns and clarifies supported behavior
  • sort_indep_by now explicitly defaults to ".factor_order" and accepts NULL (treated as ".factor_order"). When no independent variable is provided (indep = NULL), specifying sort_indep_by or descend_indep no longer errors; they are simply ignored
  • Improved sorting stability for dependent variables with missing/duplicate labels — internal joins for computing .dep_order now key by .variable_name (unique) instead of .variable_label, preventing many-to-one join errors in edge cases while preserving displayed labels

Bug Fixes & Improvements

Critical Fixes

  • CRITICAL: Resolved bug in makeme() where combinations of valid factor variables with all-NA factor variables incorrectly threw “mix of categorical and continuous variables” error. Variable type checking now uses filtered variable lists instead of original lists, preventing premature type validation errors
  • Resolved issue #464 - makeme() failures for sigtest_table when dep and indep variables overlap. Now automatically excludes indep variables from dep selection to prevent conflicts

Robustness Improvements

  • Added vector length validation in get_fig_title_suffix_from_ggplot() to prevent subscript-out-of-bounds errors when vectorized parameters have mismatched lengths
  • n_rng2() now gracefully handles plots not created by makeme() by calculating N from complete cases instead of aborting, and properly handles all-NA and empty .count_per_indep_group values by returning “0” with clear warnings instead of producing infinite values
  • crowd_plots_as_tabset() now validates each plot individually in the loop, preventing invalid objects from causing failures
  • Improved empty data frame handling throughout - using is.data.frame() and nrow() checks instead of length() for more reliable validation

Other Fixes

  • Resolved faceting issue in int_plot_html where label_separator = NULL with independent variables caused violin/boxplot and label geoms to appear in separate facets due to inconsistent string wrapping
  • Removed unnecessary “multiple main questions” warning when using label_separator = NULL, as having different main questions is expected behavior
  • Corrected double NA check logic in check_bool() function - removed redundant condition that made validation always pass for NA values
  • Improved NULL and NA handling in glue_together_range() to prevent edge case failures with empty or invalid data ranges
  • Improved robustness of check_no_duplicated_label_suffix() to handle empty data frames and missing columns gracefully
  • Enhanced check_sort_by() validation to properly handle empty character vectors with clear error messages
  • Improved keep_subitem() to handle character inputs and use factor levels for better NA handling
  • Simplified arrange_table_data() sorting logic for better reliability
  • Updated documentation reference from ggplot2::theme_set() to ggplot2::set_theme() due to ggplot2 4.0.0
  • Fixed custom_palette() in girafe() to properly handle unnamed elements in priority_palette_codes as colors for “NA” category. Previously, unnamed elements were filtered out, causing NA categories to receive no color assignment (appearing as white fill with white text)

Performance Enhancements

  • Optimized makeme() examples for 73.8% faster execution (6.6s → 1.7s total). Reduced variable counts and crowd configurations while maintaining educational value
  • Updated fig_height_h_barchart2() example for consistency with optimized examples
  • Completely rewrote the .spread algorithm in subset_vector() for better spread maximization using evenly spaced positions

Internal Refactoring

  • Substantially modularized internal implementation of makeme() into focused helper functions (argument setup, crowd processing, output assembly, validation). Improves readability, testability, and robustness without changing public API (closes #368)
  • Split post_process_makeme_data() into focused single-responsibility functions: process_indep_factor_levels() for general factor reversal and process_binary_category_colors() for cat_plot_html-specific binary category processing
  • Moved process_binary_category_colors() logic from make_content.cat_plot_html() to girafe(), consolidating all color-related logic in one place
  • Refactored checkbox plot handling in girafe() to integrate colour_2nd_binary_cat parameter with convert_to_checkbox_plot() function
  • Modularized tabular I/O functionality - renamed pretty_tabular.R to tabular_write.R and extracted tabular_read() function into separate file
  • Centralized global constants (sorting whitelists) in zzz.R under .saros.env for easier maintenance
  • Extracted duplicate label wrapping logic into apply_label_wrapping() helper function, improving maintainability and consistency
  • Added explicit return statement in make_content.int_plot_html() for clarity
  • Added .onUnload() function to clean up global options when package is unloaded, preventing option pollution in user’s R session
  • Using air for consistent code formatting
  • CRAN Compliance: Reduced string lengths in documentation for girafe() and makeme() functions to meet CRAN’s character limit per line requirement

Development & Testing

  • Added comprehensive test coverage for makeme() helper functions with full roxygen2 documentation and @keywords internal annotation for internal API clarity
  • Added comprehensive visual regression testing for int_plot_html using vdiffr snapshot tests covering various scenarios
  • Added comprehensive test coverage for utility validation functions and edge cases including all-NA variables
  • Added test coverage for global settings support in txt_from_cat_mesos_plots() with proper cleanup using withr::defer()
  • Added VS Code configuration for improved development experience
  • Added survey package to Suggests for enhanced testing capabilities
  • Updated build ignore patterns for coverage reports and library files

saros 1.5.4

CRAN release: 2025-06-04

  • Fix: Corrected error introduced in 1.5.3

saros 1.5.3

CRAN release: 2025-06-02

  • Fix: makeme now handles arguments in parent frame scopes correctly.
  • Fix: internal function get_common_levels now works with no provided col_pos.

saros 1.5.1

CRAN release: 2025-02-12

  • Feature: Added ".percentage" as valid (sorting) column
  • Feature: cat_table_html returns NULL if nothing to display
  • Fix: scale_x_reordered now only sorts when needed
  • Fix: cat_table_html takes showNA properly
  • Minor: refactoring of cat_plot_html

saros 1.5.0

CRAN release: 2025-01-10

Major changes

Minor changes

  • makeme(type="cat_plot_html") no longer shows a line one the y axis for single variable plots.
  • Refactored crosstable.data.frame() and crosstable.survey() methods.
  • Many more tests.
  • Countless bugfixes.

saros 1.2.0

CRAN release: 2024-09-03

Major changes

  • embed_*-functions are replaced by makeme(type="cat_plot") etc
    • makeme() takes S3-methods which eases expansions.
    • embed_* are thus lifecycle soft-deprecated.

New features

  • n_range() gives the n_range for a given dataset, dependent and independent variables.
  • n_range2() same as n_range() but takes a makeme()-object for convenience.
  • make_link() for generating downloadable figures, tables, data or anything else, on the spot.
  • ggsaver() is a minor wrapper to ease using make_link with ggplot2::ggsave().
  • fig_height_h_barchart() estimates the optimal figure height for a horizontal barchart.
  • fig_height_h_barchart2() same as above, but takes a makeme()-object for convenience.
  • makeme(type="cat_plot_html") allows sorting within each dependent variable-by-independent variable (facet-sort)

Bugfixes

  • Too many to list, but see saros 1.1.0 for some of them.

saros 1.1.0

-feat: Removed colour_palette (#328) -fix: Argument chapter_qmd_start_section_filepath now has effect. (#321) -fix: simplified create_email_credentials() (#305) -fix: pkgdown for recode_checkbox_sets (#304) -fix: cat_*_plot now displays keys for unused categories in legend (#301) -fix: single_y_bivariates_if_deps_above() no longer affects univariates (#300) -fix: More robust estimate_plot_height if dep only has one NA category (#299) -fix: Significance test now works in edge cases (#297) -feat: chr_table now ignores NA and empty strings. (#296) -fix: serialized_format now actually supports {qs}, if installed. (#293) -feat: Added default to replace_heading_for_group (#291) -feat: Removed flexi-app (#289) -feat: Removed unnecessary rendering-assistance tools. (#287) -feat: gen_qmd_index has now been refactored (#286) - simplified to gen_qmd_file, which better handles index and report - Also allows separate qmd_snippets at start and end for index and - Extract formats from report_header_yaml which is used to create links -fix: insert_obj_in_qmd now uses conv_to_valid_obj_name() again (#284) -feat: Removed saving png files as it is rarely used. (#283) -fix: crosstable3() now handles character vectors. (#278)

saros 1.0.5

saros 1.0.3

  • Added more arguments for plot text sizes, with more useful defaults for Word and HTML layouts.
  • attach_qualtrics_labels is now more flexible.
  • Minor fix in sanitize_labels.
  • Internal change to accommodate ggplot2 3.5.0.
  • Improved performance for argument validation checks.
  • setup_access_restrictions now accepts NULL password input.
  • setup_access_restrictions now can warn instead of error if rel_parent_path does not exist.
  • sort_by now correctly sorts with descend=TRUE for “.upper”, etc.
  • Fixed list_available_element_types
  • Set one long-running test for draft_report to only run on maintainer’s local computer.
  • sanitize_labels now has option to translate ASCII HTML-escaped characters to unicode.

saros 1.0.1

CRAN release: 2024-01-26

  • Minor fixes for CRAN manual review

saros 1.0.0

  • Submitted to CRAN

saros 0.9.1

  • First version ready