Vis-NIR Spectral Analysis Wrapper

Documentation for package ‘waves’ version 0.2.5

aggregate_spectra	Aggregate data based on grouping variables and a user-provided function
filter_spectra	Filter spectral data frame based on Mahalanobis distance
format_cv	Format multiple trials with or without overlapping genotypes into training and test sets according to user-provided cross validation scheme
ikeogu.2017	Example vis-NIRS and reference dataset
plot_spectra	Plot spectral data, highlighting outliers as identified using Mahalanobis distance
predict_spectra	Use provided model object to predict trait values with input dataset
pretreat_spectra	Pretreat spectral data according to user-designated method
save_model	Save spectral prediction model and model performance statistics
test_spectra	Test the performance of spectral models
train_spectra	Train a model based predict reference values with spectral data