Correlation

References:Fisher, N.I. and A.J. Lee (1983) A correlation coefficient for circular data. Biometrika Trust. 70(2):327-332 http://biomet.oxfordjournals.org/cgi/conte...stract/70/2/327Fisher, N.I. (1996) Statistical Analysis of Circular Data. Cambridge University Press.ISBN 0521568900,...

This function computes double block bootstrap percentile confidence intervals and bootstrap standard errors for the Pearson correlation coefficient r and Fisher's z = atanh(r).References:-Efron, B. and R.J. Tibshirani (1993): An Introduction to the Bootstrap, Chapman & Hall.-BdoDshlmann, P. and...

This function computes a double block bootstrap percentile confidence interval and a bootstrap standard error for the difference of two z-transformed Pearson correlation coefficients. The z-statistic is defined as Zd = z1-z2 = atanh(r1)-atanh(r2), where r1 is the Pearson correlation coefficient...


Platforms: Matlab

CORRPERC performs a bootstrap (of size equal to n_iters) on correlation matrices of input variable Y and computes the percentiles corrsperc (according to input perc) of each correlation. The function also provides the standard deviation corrstd for each correlation.[corrsperc, corrstd] =...


Platforms: Matlab

AMI computes and plots average mutual information (ami) and correlation of univariate or bivariate time series for different values of time lag.USAGE: [amis corrs] = ami(xy,nBins,nLags)INPUT: xy: either univariate (x) or bivariate ([x y]) time series data. If bivariate time series are given then...


Platforms: Matlab

ShadedCorrelationTable produces a correlation table for a set of variables, enhanced graphically with shading according to correlation values.Upper or lower ranges of correlation values may be highlighted through the interface controls. Two methods are provided to do this: a decay function that...


Platforms: Matlab

Y = UPSIDECORRELATION(Y) returns the upside correlation for columns of variable Y.Y = UPSIDECORRELATION(Y, m) returns the upside correlation using vector m as expected value for columns of variable Y.====================================================Upside correlation is defined as the upside...


Platforms: Matlab

Y = DOWNSIDECORRELATION(Y) returns the downside correlation for columns of variable Y.Y = DOWNSIDECORRELATION(Y, m) returns the downside correlation using vector m as expected value for columns of variable Y.====================================================Downside correlation is defined as...


Platforms: Matlab

QT clustering algorithm as described in:Heyer, L. J., Kruglyak, S., Yooseph, S. (1999). Exploring expression data: Identification and analysis of coexpressed genes. Genome Research 9,...


Platforms: Matlab

The expected performance of a stock depends on quality of the company, market evaluation of its stock, and macroeconomic environment. Also general market current condition is a significant contributing factor in the stock performance. So that it is clear that a good investing decision should be...


Platforms: Windows

WikSpeak is a tool that allows non-native English speakers to analyze the correlation between the pronunciation and spelling of English words. This program is a simple and fast graphic interface which can retrieve the phonetic transcription ( IPA ) and the pronunciation of any English word, while...


Platforms: *nix

OSSIM aims to unify network monitoring, security, correlation, and qualification in one single tool. The project combines Snort, BASE, NTOP, Nagios, nmap, nessus, and rrdtool to provide the user with full control over every aspect of networking or security..


Platforms: *nix

KCorrMeter is a correlation meter. KCorrMeter is used to display the quality of an audio stereo signal. Sound engineers will definitely have seen such a tool in the studio and know how to use it. You can use it to adjust the head of your tape machine. If it isnt mounted in the right angle...


Platforms: *nix

The system is intended for stock market traders and consists of 3 modules: TA-1, SMAP-3, and NNSTP-2. It is a comprehensive system with user-friendly interfaces that is easy to use. Technical Analyzer TA-1 is based on predictive models including technical analysis and pattern recognition....


Platforms: Windows

The correlation function calculated from one realization of an ensemble is inherently flawed since the expectation operation does not come into play. Hence it is important to have an idea of the variance in the correlation function.


Platforms: Matlab

Circularly shifts input data in matrix by columns, according to cross correlation maximum index.


Platforms: Matlab

This script applies the Maximum Correlation Cross on SST images, to estimate the superficial ocean currents


Platforms: Matlab

Finding corresponding features in a pair of images is the basis of many optic flow, stereo vision and image registration algorithms. One straightforward approach to finding a match is to take a small patch of one image, compute its sliding cross-correlation with the other image, and find a peak....


Platforms: Matlab

This function can calculate any of the 6 different ICCs defined by McGraw as well as their confidence intervals. In addition a hypothesis test is performed with the null hypothesis that ICC = r0. This function calls anova_rm (provided inside the zip file).Syntax:[r, LB, UB, F, df1, df2, p] =...


Platforms: Matlab

This is a faster implementation of MATLAB's corr2. Implemented as a mex-file generated with the ITERATOR tool that can be downloaded from www.mathworks.comRe compile the source with MEX -O prcorr2.c C = PRCORR2(A,B) computes the correlation between A and B. A and B are arrays witn any number of...


Platforms: Matlab