Man pages for CVUA-RRW/tidySpectR
An R package for tidy chemometrics
| add_labels | Adds labels |
| add_spectrum | Add a single spectrum to a collection object |
| aibin_cpp | Adaptive Intelligent Binning Algorithm |
| autoplot.collection | Plot a collection of spectra in their current processing... |
| average_spectrum | Calculate the average spectrum |
| bucket_aibin | Applies Adaptive Inteligent Binning on a collection |
| bucket_from_breaks | Bucket a collection form a list of breaks |
| bucket_optimized | Performs optimized bucketting |
| bucket_uniform | Performs uniform bucketting |
| collection | Creates a spectra collection |
| data2wide | Pivot_wider on collection$data |
| export_processor | Exports a processor object |
| extract | Extracts a spectral region |
| fa_nmr | H1-NMR spectra of Egg yolk fatty-acids |
| find_local_min | Find local minimum between two boundaries |
| mask | Masks a spectral region |
| median_spectrum | Calculate the average spectrum |
| new_step | Add a new 'processing_step' |
| normalize_factor | Normalizes spectra to a given factor |
| normalize_internalStandard | Normalizes spectra to an internal standard |
| normalize_probQuotient | Probabilistic Quotient normalization |
| normalize_totalSpectrum | Normalizes spectra to their integrals |
| pipe | Pipe operator |
| print.collection | Print a spectra collection |
| print.processing_template | Print processing_template |
| process | Applies a 'processing_step' on a 'collection' object |
| processing_step | Stores specifications of a 'collection' processing step |
| processing_template | Stores a template for processing of 'collection' objects |
| pull_breaks | Pull the breaking points (or bin limits) of a spectra... |
| pull_ids | Pull the ids of a spectra collection |
| pull_limits | Pull the limits of a spectra collection |
| pull_numbin | Pull the bin (or bucket) number of a spectra collection |
| rand_id | Generate random id |
| reduce_resolution | Reduce the resolution of Spectra |
| reexports | Objects exported from other packages |
| step_opls_denoise | Applies OPLS noise filtering on numeric data |
| step_pareto | Applies Pareto scaling on numeric data |
| step_svast | Applies Supervised-VAST scaling on numeric data |
| step_vast | Applies VAST scaling on numeric data |
| step_xvast | Applies x-VAST scaling on numeric data |
| subsample | Sub-sample a spectra collection |
| wide2long | Pivot_longer on collection$data wide format |
