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)

Filter - smooth (calculating the moving average along a vector) by Adrian Lara-Quintanilla

This function calculates the moving average along that vector. It can be used to smooth a series. (smooth, filter, timeseries)

moving_average.m

Averaging Quaternions by Tolga Birdal

This function computes the average (mean) quaternion. (rotation, mean, average)

[Qavg]=avg_quaternion_markley(Q)

[]=test_avg_quaternion()

Image Noise Reduction by Local Statistics by Tristan Ursell

Reduce image noise by measuring local pixel statistics and remapping intensities. (relative, deviation, statistics)

[varargout]=relnoise(Iin,sz,sigma,varargin)

gmean by Antonio Trujillo-Ortiz

Mean of a grouped sample. (grouped data, frequency distributio..., descriptive statistic...)

gmean(x)

meancell by Rodolfo Alatorre

the program obtain the mean row from a cell of different lengths (mean, statistics)

meancell.m

rndvar by Damith Senaratne

Provides a MATLAB class for simulating random variables (RV). (random variable, monte carlo, mean)

rndvar

Overall mean & standard deviation of groups of observations by Sebastian W

Calculate the overall mean and standard deviation of groups of observations (standard, deviation, mean)

overallmeanstd(grpn, grpmean, grpstd)

Simple dB and Power of 10 Conversion Utilities by Joe Henning

Convert dBm to p-p voltage, calculate dB mean, calculate next power of 10 (db, dbm, voltage)

dbm_to_vpp (dbm, load)

dbmean(x,dim)

nextpow10(n)

meanX by dberm22

meanX calculates the mean (a single value) for any X-dimensional matrix. (mean, mean2, mean3)

meanx( A )

Degree of Agreement Calculator by Muhammad Mhajna

This function do an agreement degree calculations. (blandaltman, bland, altman)

[diff_mean,diff_SD,rho_mean_diff,rho_x_y,poly_diff_mean,pol...

Root Mean Squared by dberm22

This set of two functions returns the root mean squared of any 1-D signal. (time domain, root mean, root mean squared)

frms( S )

rms( s )

Patch Curvature by Dirk-Jan Kroon

Principal, Gaussian and Mean Curvature of triangulated mesh (curvature, gaussian, principal)

[Cmean,Cgaussian,Dir1,Dir2,Lambda1,Lambda2]=patchcurvature(...

Allstats by Francisco de Castro

Many statistics of a vector or matrix (statistics, mean, mode)

allstats(A,varargin)

stdshade by Simon Musall

Short code to create shading around a mean. Input is a matrix with rows of observations. (shade, standarderror, errorbar)

stdshade(amatrix,alpha,acolor,F,smth)

BlockMean by Jan Simon

Mean of rectangular submatrices, fast C-Mex (no running mean) (block, image processing, array)

BlockMean(X, V, W)

uTest_BlockMean(doSpeed)

smooth by Christopher Hummersone

Perform windowed smoothing on a vector using mathematical functions (smooth, rms, median)

smooth(x,frame,mode)

cumulativ statistic by Mauro

cumstat calculate the mean and std of an array from 1 to n (cumulative, cumulativ, statistic)

cumstat(x,dim)

cumulative statistic with NaN's by Mauro

cumstat calculate the mean and std of an array with NaN's from 1 to n (cumulative cumulativ, statistic, mean)

nancumstat(x,dim)

MeanStdF by Adam Nieslony

Mean and standard deviation functions of a signal (mean, std, standard deviation)

meanstdf(x, w)

Sort data, plot means, std errors by Don MacLeod

Given a matrix with y, x and z columns, plot graphs of y vs x for each z, with error bars. (organize, plot, mean)

meansemfun(datasource, xcolindex, ycolindex, paramcolindex)

pmean.m v1.1 (Sep 2009) by Carlos Adrian Vargas Aguilera

MEAN and STD of angles, polar, cylindrical, spherical or cartesian coordinates! (mean, pol2cart, cart2pol)

pmean(varargin)

NaN Suite by Jan Gläscher

Descriptive Statistics for N-D matrices ignoring NaNs. (mean, sem, max)

nanmax(a,dim,b)

nanmean(x,dim)

nanmedian(x,dim)

KNMCluster by Timothy Felty

Calculates means and associated clusters from input data. (audio processing, video processing, k)

[means,c]=KNMCluster(k,indata)% Inputs

findSteadyState by Cornelis P. Bogerd

Finds periods of steady state within a data-set, and returns the start index and average of these st (steady state, time frequency, wavelets)

findSteadyState(dataX, Tsteadystate, Sstep, SampleTime, std...

Consolidator by John D'Errico

Consolidates common elements in x (may be n-dimensional), aggregating corresponding y. (reduction, accumarray, interpolation)

consolidator(x,y,aggregation_mode,tol)

consolidator13(x,y,aggregation_mode,tol,tolerance_style)

consolidator13(x,y,aggregation_mode,tol,tolerance_style)

Weighted Geometric Mean by Francisco de Castro

Weighted geometric mean of a vector (statistics, probability, mean)

wgeomean(varargin)

mode by Michael Robbins

Statistical mode. (statistics, probability, mean)

y=mode(x)

Calculate Effective or RMS Values by Jan Lubina

Calculates the RMS for discrete time vectors. (current, rms, integration)

[XEFF,INDRISE,INDFALL]=calcEff(varargin)

weighted_rms.m by Christian Schultes

Calculate the max weighted root mean square in different window. (linear algebra, weighted, root)

weighted_rms(signal)

Cumulative Mean by Leandro Barajas

Calculates cumulative row mean of matrices. (statistics, probability, cumsum)

cummean(x,dim)

Progressive mean and standard deviation. by Gabriele

Progressive mean and standard deviation. (deviation, standard, mean)

[m_t,s_t]=f_cummeanstd(y);

meancent by Igor Baskir

MEANCENT - for a dataset, returns the mean and mean-centered set. (statistics, probability, mean)

[A_mean, A_centered]=meancent(A)