ces 1.0.2

Bug Fix

• MAJOR: Fixed critical bug in create_codebook() function that caused “arguments imply differing number of rows” error for multiple datasets (2015 web, 2015 phone, 2021 web). The issue was caused by multi-value variable labels being incorrectly handled, leading to vector length mismatches during data.frame creation. Multi-value labels are now properly collapsed with ” | ” separator.
• Added comprehensive tests for create_codebook() function to prevent regression, including specific tests for multi-value labels, missing labels, and different output formats.
• Verified fix works across all CES datasets and maintains backward compatibility.

ces 1.0.1

Bug Fix

• Fixed critical bug in 2015 combo dataset where file format was incorrectly specified as SPSS instead of Stata format, preventing get_ces("2015", variant = "combo") from working properly

ces 1.0.0

Major Release

• Complete Survey Variant Support: Added comprehensive support for all CES survey variants (web, phone, combo, panel studies)
• Enhanced Data Coverage: 22 CES datasets across 16 election years (1965-2021) with 100% codebook coverage
  
• Improved User Experience: Intelligent defaults and informative messaging for variant selection
• Robust Download System: Enhanced error handling, retry mechanisms, and ZIP file support
• Comprehensive Testing: 65 passing tests with 0 failures

ces 0.1.0

• Initial release
• Added functions for accessing Canadian Election Study datasets:
  • get_ces() - Download and load CES data for a specific year
  • list_ces_datasets() - List available CES datasets
  • get_ces_subset() - Get a subset of variables from a CES dataset
  • create_codebook() - Generate a comprehensive codebook for CES datasets
  • export_codebook() - Export codebooks to CSV or Excel formats
  • examine_metadata() - Analyze metadata across variables in a dataset
  • download_pdf_codebook() - Download official PDF codebooks for any CES year
  • download_ces_dataset() - Download a single CES dataset by year
  • download_all_ces_datasets() - Download all or selected CES datasets at once
• Enhanced metadata preservation:
  • Metadata preservation is now enabled by default
  • All variable labels and value labels are automatically maintained
  • Complete preservation of original dataset attributes for better data documentation
• Supported datasets from 1965 to 2021
• Added vignette and examples
• Included support for variable documentation and metadata exploration