Calculating Correlation Coefficient

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...

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,...

It calculates the Spearman rank correlation coefficient from 2 or more data sets, and the associated t-test and p-values. The code is adapted with major changes from the Numerical Recipes book (http://www.nr.com/)Example:>> x = [1 2 3 3 3]';>> y = [1 2 2 4 3; rand(1,5)]';>> [r,t,p] = spear(x,y)>>...


Platforms: Matlab

The correlation coefficient calculation is implemented not with built-in function corr or corr2 but with conv2. Function corr is relatively slow for template matching purpose and it is also required extra considerations on controlling the boundary and selecting region of interest on the frame...


Platforms: Matlab

Calculates the correlation coefficient for 2-d directional and circular data, e.g., if you have one set of 2-d movements and want to compare them to a second (paired) set of 2-d movements.The input to the function is two Nx2 matrices (each matrix specifies the x,y coordinates of N data points).


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

Converts between correlation coefficient and Fisher's z


Platforms: Mac

Used on cellular phones to filter outbackground noise. Measure the signal to noise ratio of an audio input in realtime. Pass speech but give silence where the input is noise (hiss, snap crackle and pop).Includes a tutorial on how to use statistics (correlation coefficient) to calculate the signal...


Platforms: Matlab

The basic functions include the MATLAB implementation of ICC (Intraclass Correlation Coefficient), CCC (Corcordance Correlation Coefficient) and Kendall's W or KCC (Kendall's Coefficient of Concordance).List of basic functions:[1]. IPN_icc: computes the interclass correlations for indexing the...


Platforms: Matlab

1) How to compute a Pearson correlation coefficient in MATLAB? The idea is a simple fact in math: for two standardized variables (0 mean and 1 std), the correlation is equivalent to their inner product. Thus, for two large sample matrices X and Y, the sample correlation matrix is R=X'Y/(n-1),...


Platforms: Matlab

Computes intraclass coefficients after the model ICC(2,1) given by Shrout & Fleiss (1979). Also computes confidence intervals and performs test for significant difference to a given value.


Platforms: Matlab

This is a program which utilizes the included functions in order to calculate 8 image indices (Bias, Correlation coefficient, DIV, Entropy, ERGAS, Q, RASE and RMSE). The purpose of the program is to produce the results fast, easily and in a convenient way for the user (see Outputs). Initially,...


Platforms: Matlab

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

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

Model for Soft Independent Modeling of Class Analogy (SIMCA) simca_model=simca(x,classes) input: x (samples x descriptors) for calibration classes (samples x 1) classes numbers (must be >0) output: simca_model struct with: models (1 x No. classes) struct with: (one for each class) x (samples x...


Platforms: Matlab

Patristic is a Java program that uses as input different tree files and computes their patristic distances. Patristic allows saving and editing in different ways those distances. Patristic provides different graphic views of the results as well as the possibility to save them in the CSV format...


Platforms: Mac

A collection of snippets I use to do a little math. Nothing fancy. The mission Fill a basket for all the math I use to do journalism and prevent myself from having to install numpy on my production server by boiling things down as much as possible. Contains functions that calculate: * Adjusted...


Platforms: *nix

SQLStatistics extends the T-SQL scripting environment so you can carry out statistical tests, calculate metrics and perform analyses on your data from within the database itself. This tends to be much faster and more efficient than transporting the data across the network to a client application,...


Platforms: Windows

OmniScope make your PC as a Software Instrument .It's use PC's sound card to capture audio signal .and it can view 2D/3D signal waveform & spectrum. OmniScope's control panel like a dual trace digital storage oscilloscope . It very easy to operation. This is a wonderful tool that...


Platforms: Windows

Performs linear regression using the Least Squares method. Determines the regression coefficients, the generalized correlation coefficient and the standard error of estimate. Does multivariate regression. Displays 2D and 3D plots.


Platforms: Windows