Spectroscopy Analysis Using the Tidy Data Philosophy


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Documentation for package ‘tidyspec’ version 0.1.0

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