Data Editing Scaling and Preprocessing: Difference between revisions
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:[[alignspectra]] - Calibrates wavelength scale using standard spectrum. | :[[alignspectra]] - Calibrates wavelength scale using standard spectrum. | ||
:[[arithmetic]] - Apply simple arithmetic operations to all or part of dataset. | :[[arithmetic]] - Apply simple arithmetic operations to all or part of dataset. | ||
:[[asinhx]] - Arcsinh transform. | |||
:[[asinsqrt]] - Arcsin square root transformation. | |||
:[[auto]] - Autoscales matrix to mean zero unit variance. | :[[auto]] - Autoscales matrix to mean zero unit variance. | ||
:[[baseline]] - Subtracts a polynomial baseline offset from spectra. | :[[baseline]] - Subtracts a polynomial baseline offset from spectra. | ||
:[[baselineds]] - Wrapper for baselining functions (wlsbaseline, baseline, whittaker, datafit). | |||
:[[baselinew]] - Baseline using windowed polynomial filter. | :[[baselinew]] - Baseline using windowed polynomial filter. | ||
:[[batchalign]] - Convert data columns based on matching ref col to target vector. | :[[batchalign]] - Convert data columns based on matching ref col to target vector. | ||
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:[[classcenter]] - Centers classes in data to the mean of each class. | :[[classcenter]] - Centers classes in data to the mean of each class. | ||
:[[coadd]] - Reduce resolution through combination of adjacent variables or samples. | :[[coadd]] - Reduce resolution through combination of adjacent variables or samples. | ||
:[[datafit_engine]] - Asymmetric least squares with smoothing, baselining & robust fitting. | |||
:[[delsamps]] - Deletes samples (rows) or variables (columns) from data matrices. | :[[delsamps]] - Deletes samples (rows) or variables (columns) from data matrices. | ||
:[[deresolv]] - Changes high resolution spectra to low resolution. | :[[deresolv]] - Changes high resolution spectra to low resolution. | ||
:[[editds]] - Editor for DataSet Objects. | :[[editds]] - Editor for DataSet Objects. | ||
:[[excludemissing]] - Automatically exclude too-much missing data in a matrix. | :[[excludemissing]] - Automatically exclude too-much missing data in a matrix. | ||
:[[glog]] - Generalized log transform. | |||
:[[glsw]] - Generalized least-squares weighting/preprocessing. | :[[glsw]] - Generalized least-squares weighting/preprocessing. | ||
:[[gscale]] - Group/block scaling for a single or multiple blocks. | :[[gscale]] - Group/block scaling for a single or multiple blocks. | ||
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:[[med2top]] - Fits a constant to top/(bottom) of data. | :[[med2top]] - Fits a constant to top/(bottom) of data. | ||
:[[medcn]] - Median center scales matrix to median zero. | :[[medcn]] - Median center scales matrix to median zero. | ||
:[[minmax]] - Scale rows or columns of a matrix to range from 0 to 1. | |||
:[[mncn]] - Scale matrix to mean zero. | :[[mncn]] - Scale matrix to mean zero. | ||
:[[mscorr]] - Multiplicative scatter/signal correction (MSC). | :[[mscorr]] - Multiplicative scatter/signal correction (MSC). | ||
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:[[poissonscale]] - Perform Poisson scaling with scaling offset. | :[[poissonscale]] - Perform Poisson scaling with scaling offset. | ||
:[[polyinterp]] - Polynomial interpolation, smoothing, and differentiation. | :[[polyinterp]] - Polynomial interpolation, smoothing, and differentiation. | ||
:[[pqnorm]] - Probabilistic Quotient Normalization for rows of a matrix. | :[[pqnorm]] - Probabilistic Quotient Normalization for rows of a matrix. | ||
:[[pr_entropy]] - Pattern recognition entropy (PRE), Shannon entropy, transform. | |||
:[[preprocess]] - Selection and application of standard preprocessing structures. | :[[preprocess]] - Selection and application of standard preprocessing structures. | ||
:[[preprocessiterator]] - Create array of preprocessing combinations. | :[[preprocessiterator]] - Create array of preprocessing combinations. |
Latest revision as of 10:47, 14 October 2022
- alignmat - Alignment of matrices and N-way arrays.
- alignpeaks - Calibrates wavelength scale using standard peaks.
- alignspectra - Calibrates wavelength scale using standard spectrum.
- arithmetic - Apply simple arithmetic operations to all or part of dataset.
- asinhx - Arcsinh transform.
- asinsqrt - Arcsin square root transformation.
- auto - Autoscales matrix to mean zero unit variance.
- baseline - Subtracts a polynomial baseline offset from spectra.
- baselineds - Wrapper for baselining functions (wlsbaseline, baseline, whittaker, datafit).
- baselinew - Baseline using windowed polynomial filter.
- batchalign - Convert data columns based on matching ref col to target vector.
- batchdigester - Parse wafer or batch data into MPCA or Summary PCA form.
- batchfold - Transform batch data into dataset for analysis.
- batchmaturity - Batch process model and monitoring.
- classcenter - Centers classes in data to the mean of each class.
- coadd - Reduce resolution through combination of adjacent variables or samples.
- datafit_engine - Asymmetric least squares with smoothing, baselining & robust fitting.
- delsamps - Deletes samples (rows) or variables (columns) from data matrices.
- deresolv - Changes high resolution spectra to low resolution.
- editds - Editor for DataSet Objects.
- excludemissing - Automatically exclude too-much missing data in a matrix.
- glog - Generalized log transform.
- glsw - Generalized least-squares weighting/preprocessing.
- gscale - Group/block scaling for a single or multiple blocks.
- gscaler - Applies group/block scaling to submatrices of a single matrix.
- lamsel - Determines indices of wavelength axes in specified ranges.
- logdecay - Mean centers and variance scales a matrix using the log decay of the variable axis.
- lsq2top - Fits a polynomial to the top/(bottom) of data.
- mdcheck - Missing Data Checker and infiller.
- med2top - Fits a constant to top/(bottom) of data.
- medcn - Median center scales matrix to median zero.
- minmax - Scale rows or columns of a matrix to range from 0 to 1.
- mncn - Scale matrix to mean zero.
- mscorr - Multiplicative scatter/signal correction (MSC).
- normaliz - Normalize rows of matrix.
- npreprocess - Preprocessing of multi-way arrays.
- oscapp - Applies OSC model to new data.
- osccalc - Calculates orthogonal signal correction (OSC).
- poissonscale - Perform Poisson scaling with scaling offset.
- polyinterp - Polynomial interpolation, smoothing, and differentiation.
- pqnorm - Probabilistic Quotient Normalization for rows of a matrix.
- pr_entropy - Pattern recognition entropy (PRE), Shannon entropy, transform.
- preprocess - Selection and application of standard preprocessing structures.
- preprocessiterator - Create array of preprocessing combinations.
- preprouser - User-defined preprocessing methods.
- registerspec - Shift spectra based on expected peak locations.
- rescale - Scales data back to original scaling.
- savgol - Savitzky-Golay smoothing and differentiation.
- savgolcv - Cross-validation for Savitzky-Golay smoothing and differentiation.
- scale - Scales data using specified means and std. devs.
- shuffle - Randomly re-orders matrix and multiple blocks rows.
- snv - Standard normal variate scaling.
- specedit - GUI for selecting spectral regions on a plot.
- super_reduce - Eliminates highly correlated variables.
- unfoldm - Rearranges (unfolds) an augmented matrix to row vectors.
- unfoldmw - Unfolds multiway arrays along specified order.
- windowfilter - Spectral filtering.
- wlsbaseline - Weighted least squares baseline function.
(Sub topic of Categorical_Index)