R: Spectroscopy Analysis Using the Tidy Data Philosophy

# Spectroscopy Analysis Using the Tidy Data Philosophy

## Documentation for package ‘tidyspec’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

check_wn_col | Check the Currently Set Wavenumber Column
CoHAspec | CoHAspec Dataset
demo_rolling_ball | Usage Example and Test
plot_rolling_ball | Plot Rolling Ball Results
rolling_ball | Rolling Ball Baseline Correction
rolling_ball_morphology | Enhanced Rolling Ball with Mathematical Morphology
set_spec_wn | Set the Default Wavenumber Column
smooth_baseline | Baseline Smoothing
spec_abs2trans | Convert Absorbance Data to Transmittance
spec_blc_rollingBall | Apply Rolling Ball Baseline Correction to Spectral Data
spec_bl_rollingBall | Extract Rolling Ball Baseline from Spectral Data
spec_diff | Apply Differentiation to Spectral Data
spec_filter | Filter spectral data by wavenumber range
spec_norm_01 | Normalize Spectral Data to the [0, 1] Range
spec_norm_minmax | Normalize Spectral Data to a Specified Range
spec_norm_var | Standardize Spectral Data to Unit Variance
spec_pca | Perform Principal Component Analysis (PCA) on Spectral Data
spec_pca_screeplot | Scree plot for PCA results
spec_pca_wn_contrib | Compute Wavenumber Contributions to Principal Components
spec_read | Read Spectral Data from Various File Formats
spec_select | Select Specific Columns in a Spectral Data Frame
spec_smartplot | Create a Custom Plot for Spectral Data
spec_smartplotly | Create an Interactive Plot for Spectral Data using Plotly
spec_smooth_avg | Apply Smoothing to Spectral Data Using a Moving Average
spec_smooth_sga | Apply Savitzky-Golay Smoothing to Spectral Data
spec_trans2abs | Convert Spectral Data from Transmittance to Absorbance