Changes in version 0.1.2.9000                      

                 Changes in version 0.1.2 (2026-01-06)                  

CRAN resubmission with vignette build fix:

  - Fixed vignette build failure caused by undefined variables in
    print.myrror() (#CRAN-6)
  - Added missing variable assignments (name_dfx <- x$name_dfx, name_dfy
    <- x$name_dfy) to ensure variables are in scope when used in
    cli::cli_text() calls
  - Removed duplicate line assignments in print.myrror() function

                        Changes in version 0.1.1                        

CRAN resubmission with requested fixes:

  - Added missing \value documentation to print.myrror() (#CRAN-1)
  - Exported create_myrror_object() function; pair_columns() remains
    internal (not exported) (#CRAN-2)
  - Replaced \dontrun{} with \donttest{} in examples and regenerated
    documentation with devtools::document() (#CRAN-3)
  - Uncommented all examples and made them executable (#CRAN-4)
  - Fixed examples that referenced unexported functions (#CRAN-5)
  - Second resubmission fix: Properly regenerated .Rd files after source
    edits using roxygen2

                        Changes in version 0.1.0                        

Initial release of myrror, a package for comparing data frames in R.

Main Features

  - myrror() - Comprehensive comparison of two data frames with
    interactive reporting
  - Support for multiple join types (1:1, 1:m, m:1) with user warnings
    and control
  - Configurable tolerance for numeric comparisons
  - Automatic identification of potential key variables
  - Interactive console output with option for non-interactive mode
  - Package-specific environment for storing comparison objects

Comparison Functions

  - compare_type() - Compare the types of shared columns between data
    frames
  - compare_values() - Compare the values of shared columns with
    tolerance support

Extraction Functions

  - extract_diff_values() - Extract differing values, returning a list
    of data frames (one per variable)
  - extract_diff_table() - Extract differing values, returning a single
    consolidated data frame
  - extract_diff_rows() - Extract rows that exist in only one of the two
    data frames

Documentation

  - Comprehensive vignettes demonstrating package workflows
  - Detailed function documentation with runnable examples
  - pkgdown website available at
    https://pip-technical-team.github.io/myrror/

Internal Improvements

  - Robust error handling and input validation
  - Efficient data.table-based operations for performance
  - S3 print methods for user-friendly myrror object display
  - Helper functions for column pairing and join type detection