Introduction
Instalation | Package overview | Data | Wavenumber Handling | Visualize the data | Convert to transmittance (and back to absorbance) | Select spectra | Filter spectra | Savitz-Golay method | How it works: | Parameters: | Comparison with moving average: | Derivatives | Using the spec_diff() Function | Baseline correction | Rolling ball method | Function Parameters | Baseline Correction Application | Looking to the baseline | Comparing Original and Baseline | Scaling the spectra | Importance of Spectral Scaling | Working with a Spectral Region | Min-Max Normalization (0-1 Scaling) | Mathematical Foundation | When to Use Min-Max Normalization | Standardization (Z-score Normalization) | Application | When to Use Standardization | Choosing the Right Scaling Method | Integration with tidyverse | Case 1: Choosing the best baseline parameters | Setting up the parameter grid | Applying baseline correction across parameters | Visualizing parameter optimization results | Benefits of the tidyverse approach | Extending the approach
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