dataSDA 0.1.8

Vignette

• Comprehensive rewrite covering all 51 exported functions (was 18), organized into 14 sections: format detection/conversion, core stats, geometry, position, robust, shape, similarity, uncertainty, distance, histogram stats, and utilities.
• Fixed garbled characters, stale dataset references, and broken histogram example code.

dataSDA 0.1.7

New functions (2 exported)

• MM_to_RSDA() — convert MM format (_min/_max columns) to RSDA format (symbolic_tbl with complex-encoded intervals).
• iGAP_to_RSDA() — convert iGAP format to RSDA format via iGAP_to_MM → MM_to_RSDA.

Updated functions

• int_list_conversions() now returns 8 conversions (was 6), including MM_to_RSDA and iGAP_to_RSDA.
• int_convert_format() now supports to = "RSDA" for MM and iGAP sources with auto-detection.

Vignette

• Comprehensive rewrite covering all 51 exported functions (was 18), organized into 14 sections: format detection/conversion, core stats, geometry, position, robust, shape, similarity, uncertainty, distance, histogram stats, and utilities.
• Fixed garbled characters, stale dataset references, and broken histogram example code.

Tests

• 49 new tests for the new conversion functions and updated conversion registry (517 total, all passing).

dataSDA 0.1.6

Dataset naming convention

Adopted snake_case naming with type suffixes (.int, .hist, .mix, .distr, .iGAP) for all datasets. Renamed 10 existing datasets:

New datasets (16 added, 48 total)

• acid_rain.int, bats.int, credit_card.int, employment.int, oils.int, teams.int, tennis.int, temperature_city.int, trivial_intervals.int, world_cup.int (interval-valued)
• bird_species.mix, bird_species_extended.mix, town_services.mix (mixed symbolic)
• lung_cancer.hist (histogram-valued)
• energy_consumption.distr (distribution-valued)
• bank_rates, mushroom_fuzzy (other)

New functions (3 exported)

• Format detection and conversion (interval_format_conversions.R):
  • int_detect_format() — automatically detect interval data format (RSDA, MM, iGAP, SODAS).
  • int_list_conversions() — list available format conversion functions, with optional filtering by source/target format.
  • int_convert_format() — unified interface for all interval format conversions with auto-detection.

Other changes

• Updated vignette, examples, and tests to use new dataset names.
• 70 new tests for format detection and conversion helpers (468 total, all passing).
• R CMD check: 0 errors, 0 warnings, 0 notes.

dataSDA 0.1.5

New functions (31 exported)

• Interval distances (interval_dist.R): int_dist(), int_dist_matrix(), int_pairwise_dist(), int_dist_all() — 14 distance measures (GD, IY, L1, L2, CB, HD, EHD, nEHD, snEHD, TD, WD, minkowski, ichino, de_carvalho) with method aliases (euclidean, hausdorff, manhattan, city_block, wasserstein).
• Interval geometry (interval_geometry.R): int_width(), int_radius(), int_center(), int_overlap(), int_containment(), int_midrange().
• Position and scale (interval_position.R): int_median(), int_quantile(), int_range(), int_iqr(), int_mad(), int_mode() — all support 8 methods (CM, VM, QM, SE, FV, EJD, GQ, SPT).
• Robust statistics (interval_robust.R): int_trimmed_mean(), int_winsorized_mean(), int_trimmed_var(), int_winsorized_var().
• Distribution shape (interval_shape.R): int_skewness(), int_kurtosis(), int_symmetry(), int_tailedness().
• Similarity measures (interval_similarity.R): int_jaccard(), int_dice(), int_cosine(), int_overlap_coefficient(), int_tanimoto(), int_similarity_matrix().
• Uncertainty and variability (interval_uncertainty.R): int_entropy(), int_cv(), int_dispersion(), int_imprecision(), int_granularity(), int_uniformity(), int_information_content().

Refactoring

• Merged 6 interval conversion files into a single R/interval_format_conversions.R, organized by target format.
• Extracted shared internal helpers, reducing ~454 lines of duplicated code.
• R/interval_utils.R: consolidated 7 internal interval helpers, format-preparation functions (RSDA_format, set_variable_format, clean_colnames), and their internal helpers.
• R/histogram_utils.R: 8 internal helpers for histogram statistics.
• Renamed utils_validation.R to validation.R.
• R CMD check: 0 errors, 0 warnings, 0 notes. All 399 tests pass.

dataSDA 0.1.4

• Input validation for all 18 exported functions: every function now validates its inputs at entry, producing clear error messages instead of cryptic R internals errors.
• New R/utils_validation.R: 11 internal validation helpers centralizing all checks.
• RSDA_format fix: replaced 4 return("Error") with proper stop() calls.
• 62 new regression tests for input validation (399 total, all passing).
• R CMD check: 0 errors, 0 warnings.
• Added NEWS.md with changelog for all versions.

dataSDA 0.1.3

• Added testthat framework with 337 tests covering all 18 exported functions.
• 0 failures, 0 warnings, 0 skips.

dataSDA 0.1.2

• 18 exported functions for symbolic data format conversion and statistics.
• 32 datasets (interval-valued and histogram-valued) for symbolic data analysis.
• Support for MM, iGAP, RSDA, and SODAS data formats.
• Interval statistics: int_mean, int_var, int_cov, int_cor (8 methods).
• Histogram statistics: hist_mean, hist_var, hist_cov, hist_cor.

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