Plot a plane from 3 points by Nitish Tripathi

It plots a plane from 3 points. Its returns all the coeff of plane (a, b, c,d) (image processing, statistics, mathematics)

plot_line(p1, p2, p3)

Intrinsic dimensionality estimation techniques by Gabriele Lombardi

Implementation of some state-of-art intrinsic dimensionality estimators. (statistics, intrinsic dimensional..., estimation)

Intrinsic Dimensionality (id) estimation

DANCo(data,varargin)

DANCoFit(data,varargin)

Infinite Bernoulli mixture by Sam Gershman

Nonparametric Bayesian clustering of binary data. (machine learning, statistics, clustering)

dpmm_bernoulli(X,varargin)

Negative Binomial Regression by Surojit Biswas

NB2 Negative-Binomial regression. (statistics, mathematics, optimization)

nbreg( x, y, varargin )

Moving Average Function by Glen

Calculates a moving average in an n-dimensional matrix in any dimension. (average filter, statistics, moving window)

result=movingmean(data,window,dim,option)

Rank aggregation by Nejc Ilc

Summarizes ordered lists. (statistics, data exploration, rank aggregation)

aggregateRanks(R, N, method, complete, topCutoff)

betaScores(r)

correctBetaPvalues(p,k)

NCTCDFVW by Viktor Witkovsky

Alternative algorithm for computing the CDF of the noncentral Student's t-distribution (statistics)

nctcdfVW.m

barycentric Coordinates by anukriti dureha

barycentric_coordinates will give the coordinates alpha, beta ,gama of the matrix face_point. (image processing, statistics, mathematics)

barycentric_coordinates( face_point,dt )

Comparison of Alamouti & MRC Schemes over Rayleigh Channel by Sourav Mondal

This code gives a relative comparison of performance of Alamouti & MRC schemes over Rayleigh channel (communications, control design, data export)

alamouti_new(M, frmLen, numPackets, EbNo)

mrc_new(M, frmLen, numPackets, EbNo)

alamouti_mrc_RUN_new.m

F-Test by James Conder

Test whether addition of model parameters is warranted by improvement of data misfits. (statistics, ftest)

ftest(n,np1,np2,chi1,chi2)

Discretization methods: Class-Attribute Contingency Coefficient (CACC - MATLAB) by Julio Zaragoza

Correct Implementation of the CACC Discretization Method. http://cs.adelaide.edu.au/~jzaragoza (statistics, mathematics)

cacc(data)

main.m

errorbarjitter by David Stern

Plot mean ± SD alongside jittered raw data (plotting, jitter, statistics)

errorbarjitter.m

Particle Swarm Optimization by Yan Ou

[x,fval] = pso(fun,np,A,b); % fun: function handle % np: number of particles % A, b: Ax<=b (optimization, nonconvex optimizatio..., mathematics)

pso(fun,np,A,b,inertia,correction_factor,iteration)

Histogram distances by Boris Schauerte

Implementation of some commonly used histogram distances (compatible with the pdist interface) (image processing, signal processing, statistics)

d=chi_square_statistics(XI,XJ)

d=histogram_intersection(XI,XJ)

d=jeffrey_divergence(XI,XJ)

Fast Eigenvalue Computation of Massive 3-by-3 Real Symmetric Matrices by Max W.K. Law

For multiple 3x3 real symmetric matrices, vectorized matrix operations, support GPU computation (3x3 matrix, eigen, eigendecomposition)

eigenvaluefield33( a11, a12, a13, a22, a23, a33)

Noise variance estimation by Damien Garcia

EVAR estimates the noise variance from 1-D to N-D data (signal processing, statistics)

evar(y)

Mass Univariate ERP Toolbox by David Groppe

Functions for performing and visualizing mass univariate analyses of event-related potentials. (multiple comparisons, tmax, neuroimaging)

EEG=bin_info2EEG(EEG_or_fname,blf_fname,save_fname,verbleve...

GND=baselineGND(GND,bsln_wind,verblevel)

GND=bin_dif(GND,binA,binB,dif_bindesc,dif_ccode,dif_ccdescr)

Easy 'n fast smoothing for 1-D to N-D data by Damien Garcia

SMOOTHN allows automatized and robust smoothing in arbitrary dimension w/wo missing values (image processing, signal processing, statistics)

smoothn(varargin)

N-way repeated measures ANOVA by Thomas Gladwin

Runs an N-way within-subject repeated measures ANOVA. (rm_anova2, statistics)

SS(varargin)

[h crit_p]=fdr_bky(p_values,q,report)

bsse(M)

binning a point cloud, 3D scattered data, in the X-Y plane by Stephan Koehler

Take a set of XYZ points, and returns average Z values for corresponding bins in X & Y planes. (image processing, signal processing, statistics)

binXYZonXY( x_bin_edges, y_bin_edges, x, y, z, flag4std, to...

Probabilistic Non-Local Means by Yue Wu

This code implements the probabilistic non-local means algorithm for image denoising. (kernel estimation, denoising, signal processing)

PNLM(ObsImg,PatchSizeHalf,WindowSizeHalf,EstSigma,RhoSq)

Direct LDA and PCA+LDA by Vipin Vijayan

Implementation of LDA, Direct LDA and PCA+LDA. See description for details. (linear discriminant a..., lda, fischers linear discr...)

directlda(X,y,k,method,m)

directlda_demo

fld(X, L, n, crit, qrf, r, e, M )

Tornado Plot by Rick

This creates tornado plots based on a specified sensitivity value. (analysis, aerospace, tornado)

Tornado.m

kmeans by wang

kmeans algorithm complement (image processing, statistics)

kmeans(X,k)

IEF, Image enhancement factor by Suraj Kamya

Image enhancement factor (ief, image enhancement fac..., image processing)

[out]=IEF(orgimg,nimg,dimg)

BER, Bit error rate by Suraj Kamya

Bit Error Rate (ber, bit error rate, quality measure)

[out]=Biter(orgsig,exsig)

TAF,Tamper Assessment Function by Suraj Kamya

Tamper Assessment Function (taf, tamper assessment fun..., quality measure)

[T]=TAF(w,wex)

PSNR, Peak Signal to Noise Ratio by Suraj Kamya

Peak Signal to noise ratio (psnr, peak signal to noise ..., quality measure)

[out]=PSN(orgimg,mimg)

partial least squares-discriminant analysis and variable selection for high dimensional data by Hongdong Li

chemometrics, metabolomics, model population analysis, variable selection (chemometrics, variable selection, model population anal...)

C=ldapinv(X,y,flag);

CV=plsldacv(X,y,A,K,method,OPT,order)

CV=plsldamccv(X,y,A,method,N,ratio,OPT)

Toolbox: partial least squares and CARS for variable selection by Hongdong Li

PLS regression, cross validation, variable selection for PLS (pls, monte carlo, chemistry)

CV=oscplscv(X,y,A,K,method,nosc)

CV=plscvfold(X,y,A,K,method,PROCESS,order)

CV=plsmccv(X,y,A,method,N,ratio,OPT)

Natural Log Binning of data with errors by LPS

Bins raw data in naturally logged bins, and calculates error on each bin. (statistics, natural log, log)

NaturalLogBin(path_name, input_file, ....

Metropolis Hastings by Saad Jbabdi

Simple but powerful implementation of the MH algorithm (monte carlo markov ch..., metropolis hastings, bayesian)

mh(varargin)

Fourier series with taper by Hélio de Oliveira

Compute Fourier series with Tukey tapers and standard Fourier series for a number of signals (signal processing, mathematics, communications)

Contato(varargin)

ProjetoMM1C(varargin)

Sobre(varargin)

Outlier removal v2 by Paul

Rosner's many outlier test, vectorized. (outlier removal, outlier, rosner)

outlier(y, alpha, k)

Capon-Like Algorithm for NarrowBand Direction of Arrival Estimation. by Youssef KHMOU

Computing the Angles of Arrival of Narrow-band sources using Capon-Like algorithm(2011). (directional antennas, doa, signal processing)

Capon_like_Estimator.m

demo.m

Measures of Effect Size Toolbox by Harald Hentschke

Computes diverse effect size statistics including confidence intervals (statistics, effect size, noncentral)

ci=ncpci(x,fType,df,varargin)

pvpmod(x)

mes.m

2D Bandwidth Estimator for KDE by Matej Kristan

2D kernel density estimator from weighted data. (statistics, signal processing, kernel density estima...)

col_sum( a )

cols(a)

conf2mahal(c, d)

ToleranceFactor by Viktor Witkovsky

ToleranceFactor computes the exact tolerance factor for the two-sided tolerance interval (statistics, measurement)

ToleranceFactorGK

ComputeTables(N,M,coverage,confidence,options)

ToleranceFactor(n,coverage,confidence,options)

summarize by Tyler Ransom

This function mimics Stata's summarize command. (statistics, data import)

summarize(x,options)

Tapering of 2D matrices by Christian Jensen

Performs gradual tapering of matrices (image processing, signal processing, statistics)

mattaper(X,tf,w,s)

Four parameters logistic regression - There and back again by Giuseppe Cardillo

Fit data points with a four points logistic regression or interpolate data. (statistics, chemistry, pharmaceutical)

L4Pinv(cf,y)

[cf G]=L4P(x,y,varargin)

3D Turbulent Wind Field Simulation by means of Sandia Method for wind energy applications by Francesco Perrone

3D turbulent wind field generator with Kaimal model (turbulence wind field..., statistics, signal processing)

wind_gen.m

n-way ANOVA from summary statistics by Peter Nagy

The program performs n-way ANOVA on data containing summary statistics (mean, SD and N) of groups. (statistics)

varargout=anovanFromSumStat(varargin)

CHI2TEST2 by James Meldrum

Two-sample chi-squared test for discrete data. (statistics, data exploration)

chi2test2(x1,x2,alpha)

Mean shift pixel cluster by Yue Wu

This toy code implements the classic and basic pixel clustering using mean shifts (image processing, clustering, statistics)

meanShiftPixCluster(x,hs,hr,th,plotOn)

Hierarchically grouped boxplot by Matt Tearle

A modification to boxplot that shows the hierarchical relationships between the grouping variables. (boxplot, variability plot, statistics)

hierarchicalBoxplot(x,grp,separatorlines,color)

Inverse of Normal Cumulative Distribution by Nassim Khaled

This is a simple example for finding the inverse normal cumulative distribution using Matlab & Excel (normal distribution, inverse normal distri..., norminv)

script.m

Plot and compare histograms; pretty by default by Jonathan C. Lansey

Compares multiple sets of data elegantly. Set bins and axis bounds to be appropriate for the data. (histogram, bins, bin size)

nhist(cellValues, varargin)

Risk-neutral density recovery via spectral analysis by Matthias

Implementation of Monnier (2013) "RND recovery via spectral analysis" (finance, statistics, risk neutral density)

spectralrecovery(X,bid,ask,F,r,tau,nopt)

spectralExample.m

DDFMIXED by Viktor Witkovsky

Estimates the denominator degrees of freedom (DDF) of the F-test in simple linear mixed model (LMM) (statistics)

mixed(y,X,Z,dim,s20,method,lambda)

SplitPlot-Example.m

ddfmixed.m