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tidyspec 0.4.0
New functions
spec_join()
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Join multiple spectral tibbles: Combine two or more spectral datasets that share the same wavenumber column
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Flexible join types: Support for “full” (default), “inner”, and “left” joins
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Conflict handling: Automatic suffix handling for duplicate column names
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Validation: Comprehensive checks for input tibbles and wavenumber column consistency
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Integration: Full compatibility with the tidyspec workflow and
set_spec_wn() global settings
spec_values_at()
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Extract values at specific wavenumbers: Retrieve spectral intensities at user-defined wavenumber positions
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Multiple extraction methods:
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"closest": Find nearest wavenumber matches (default)
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"exact": Return only exact matches, NA for non-matches
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"interpolate": Use linear interpolation between adjacent data points
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Flexible output formats:
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"wide": Wavenumbers as rows, samples as columns (default)
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"long": Tidy format with wavenumber, sample, and value columns
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Tolerance control: Set maximum allowed difference for closest matching
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Use cases: Ideal for peak analysis, sample comparison, and creating datasets for statistical analysis
Enhancements
- Both new functions follow tidyspec conventions with consistent parameter naming and behavior
- Integration with the global wavenumber column system (
set_spec_wn())
- Comprehensive input validation and informative error messages
- Support for the standard tidyspec warning system for parameter defaults
Documentation
- Added comprehensive documentation with examples for both new functions
- Detailed parameter descriptions and method explanations
- Usage examples covering common spectroscopy workflows
tidyspec 0.3.0
New Features
Spectral Interpolation Functions
- Added
spec_interpolate_left() for interpolating spectral data to match reference wavenumber grids (left join style)
- Added
spec_interpolate_right() for combining datasets with interpolated reference data (right join style)
- Added
spec_interpolate_regular() for creating regular wavenumber grids with specified resolution
- Support for multiple interpolation methods:
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"linear" - Linear interpolation (base R)
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"pchip" - Piecewise Cubic Hermite Interpolating Polynomial (requires pracma)
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"spline" - Cubic spline interpolation (base R)
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"akima" - Akima spline interpolation (requires akima)
- Optional extrapolation control with
extrapolate parameter
- Automatic handling of overlapping column names with customizable suffixes
- Consistent integration with tidyspec environment for automatic wavenumber column detection
Dependencies
- Added
pracma and akima to Suggests for advanced interpolation methods
- Functions gracefully handle missing optional dependencies with informative error messages
Documentation
- Comprehensive documentation for all interpolation functions with usage examples
- Clear explanation of join-style behavior for spectral data alignment
tidyspec 0.2.0
New Features
Baseline Correction Functions
- Added
spec_blc_rubberband() function for rubberband baseline correction of spectral data
- Added
spec_bl_rubberband() function to extract rubberband baseline from spectral data
- Rubberband method provides automatic baseline correction by connecting local minima points
- Both functions support customizable segment length and baseline smoothing options
Improvements
- Enhanced baseline correction options with rubberband algorithm alongside existing rolling ball method
- Consistent API design between rolling ball and rubberband baseline functions
Documentation
- Added a
NEWS.md file to track changes to the package