Package index • tidyspec

Package Setup

Functions to configure tidyspec environment

set_spec_wn(): Set the Default Wavenumber Column

check_wn_col(): Check the Currently Set Wavenumber Column

Data Import

Functions to read spectral data

spec_read(): Read Spectral Data from Various File Formats

Data Transformation

Functions to transform spectral data

spec_trans2abs(): Convert Spectral Data from Transmittance to Absorbance

spec_abs2trans(): Convert Absorbance Data to Transmittance

spec_diff(): Apply Differentiation to Spectral Data

spec_filter(): Filter spectral data by wavenumber range

spec_select(): Select Specific Columns in a Spectral Data Frame

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_norm_area(): Normalize Spectral Data by Area Under the Curve

spec_norm_by_wn(): Normalize Spectral Data by Specific Wavenumber Value

spec_smooth_avg(): Apply Smoothing to Spectral Data Using a Moving Average

spec_smooth_sga(): Apply Savitzky-Golay Smoothing to Spectral Data

spec_values_at(): Extract spectral values at specific wavenumbers

spec_join(): Join multiple spectral tibbles

Baseline Correction

Functions for baseline correction and extraction

spec_blc_rollingBall(): Apply Rolling Ball Baseline Correction to Spectral Data

spec_blc_rubberband(): Apply Rubberband Baseline Correction to Spectral Data

spec_bl_rubberband(): Extract Rubberband Baseline from Spectral Data

spec_bl_rollingBall(): Extract Rolling Ball Baseline from Spectral Data

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

smooth_baseline(): Baseline Smoothing

Interpolation and Resampling

Functions for spectral interpolation and grid alignment

spec_interpolate_left(): Interpolate Spectral Data to Match Reference Wavenumbers (Left Join Style)

spec_interpolate_right(): Interpolate Spectral Data to Include Both Grids (Right Join Style)

spec_interpolate_regular(): Interpolate to Regular Grid

Plotting and Visualization

Functions for plotting spectral data

spec_smartplot(): Create a Custom Plot for Spectral Data

spec_smartplotly(): Create an Interactive Plot for Spectral Data using Plotly

PCA

Principal Component Analysis for spectral data

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

Data

CoHAspec: CoHAspec Dataset