myrror 0.1.2

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

myrror 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

myrror 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