Maths rountines

Detailed Description

Files
file	subsetsprocessor.m
file	get_probs.m
	Calculates per-class probabilities by counting the number of occurences for each class.
file	percs2no_unitss.m
	Converts percents to number of units with extra care.
file	v_ind2x.m
	Converts indexes to x by linear [inter/extra]polation.
file	v_x2ind.m
	Determines the indexes in x corresponding to v by proximity measure.
file	draw_projections.m
	Draws projections of each row of DATA.X onto the column vector v.
file	error_ellipse2.m
	error ellipse, "ellipse walls" version
file	adjust_turn2.m
	Turns loadings vectors.
file	adjust_unitnorm.m
	Normalizes column vectors to unit norm.
file	and_prod.m
	AND operator as a product.
file	bc_poly.m
	Polynomial baseline correction.
file	bc_rubber.m
	Convex Polygonal Line baseline correction.
file	bsearch.m
	Binary Search.
file	calc_predictive_values.m
	Calculates predictive values.
file	calc_sens_spec.m
	Calculates sensitivities and specificities for each class (row of cc)
file	calculate_scatters.m
	Calculates scatter matrices from X and classes.
file	cca.m
	Canonical Correlation Analysis.
file	confint.m
	Calculates confidence interval.
file	cy.m
	Aux function for bmtable.
file	data_calculate_scatters.m
	Calculates scatter matrices from dataset.
file	data_eliminate_var0.m
	Eliminates low-variance features.
file	decim.m
	Decimation by averaging.
file	deconvolve.m
	Deconvolution with a vector h.
file	detect_peaks.m
	Peak detector.
file	diff_operator.m
	Creates differentiation matrix.
file	diff_sg.m
	Savitzky-Golay differentiation.
file	distribution.m
	Estimates the univariate distribution of a data vector.
file	eig_ordered.m
	Returns eigenvectors of matrix ordered in descending order of eigenvalue.
file	feacons_kun.m
	Kuncheva's feature consistency index.
file	featurestability.m
	Calculates the stability curve for a set of feature subsets.
file	find_distributionthreshold.m
	Originally created for Nik's study [1].
file	fisher_ld.m
	Calculates Fisher's Linear Discriminant vectors (loadings).
file	gridsearchparam.m
file	hitsentropy.m
	Calculates entropy curve of a hitss matrix.
file	integrate.m
file	irootlab_pls.m
	Partial Least Squares.
file	irsoftmax.m
	"Softmax" Transformation
file	maha.m
	Calculates the Mahalanobis distances of the rows in X.
file	normaliz.m
	Normalization.
file	normalize_rows.m
	Divides each row of cc by its sum, or leaves it untouched if its sum is zero.
file	peak_closest.m
	Returns index of peak closest to a.
file	peak_landmarks.m
	Converts curves to their peaks/troughs locations.
file	penalty_matrix.m
	Linear combination of differential operators.
file	princomp2.m
	Principal Component Analysis (PCA)
file	quantile_landmarks.m
	x-positions where quantiles occur.
file	rotatefactors2.m
	Reproduces the factor rotation of Pirouette.
file	round_random.m
	Now works as regular round()
file	sigfun.m
	Sigmoid function.
file	sigwindowuni.m
	Point-by-point multiplications of the rows of X by a sigmoid.
file	splinebasis.m
	Splines transformation matrix.
file	splinedecomp.m
	Spline decomposition.
file	unique_appear.m
	Generates unique class labels in order of appearance.
file	wden.m
	Wavelet De-noising.
file	weightedsubsampling.m
	Weighted subsampling.
file	compare.m
	Shallow structure or cell comparison.
file	iif.m
	in-line "IF"This function takes three parameters. The first parameter is a condition. If the condition is true, returns the second argument, otherwise the third.
file	protect_against_inf.m
	Replaces infinite values by maximum/minimum.