Population Variance

AWclust is easy to use non-parametric population structure analysis software written for R with a GUI interface. Just point and click and you will be on your way to discovering the important cluster information in your SNP data sets.

The GMM returns the cluster centroid and cluster variances for a family of points if the number of clusters are predefined. The centroid and variance can then be passed to a Gaussian pdf to compute the similarity of a input query point with reference to given cluster.

Leave-one-out cross-validation for PLS regression or discriminant analysispls_cv = plscv(x,y,vl,'da')input:x (samples x descriptors) for cross-validationy (samples x variables) for regression or (samples x classes) for discriminant analysis. Classes numbers must be >0.vl (1 x 1) number of latent...


Platforms: Matlab

This function provides a Wilcoxon-type test for trend across a group of three or more independent random samples.Assumptions:- Data must be at least ordinal- Groups must be selected in a meaningful order i.e. orderedIf you do not choose to enter your own group scores then scores are allocated...


Platforms: Matlab

Functions for Rice/Rician PDF: summary statistics (mean and variance), generating random samples, and simple moment-matching to fit the distribution to data.Similar to e.g. normpdf, normstat, normrnd and normfit from the MATLAB statistics toolbox, but for the Rice distribution, which is useful in...


Platforms: Matlab

Anderson and Darling (1952, 1954) introduced a goodness-of-fit statistic to test the hypothesis that a random sample comes from a continuous population with a specified distribution function. It is a modification of the Kolmogorov-Smirnov (K-S) test and gives more weight to the tails than the K-S...


Platforms: Matlab

Single sample Smirnov-Cramer-Von Mises goodness-of-fit hypothesis test.H = MTEST(X,ALPHA) performs the particular case of Smirnov-Cramer-Von Mises test to determine whether the null hypothesis of composite normality CDF is a reasonable assumption regarding the population distribution of a random...


Platforms: Matlab

The roulette wheel operator is a proportionate reproductive operator, where a string is selected from the mating pool with a probability proportional to the fitness.For a given set of fitness value,This program uses the roulette wheel operator to select the Population.


Platforms: Matlab

Suppose that you have a signal Y (Y can be a time series, a parametric surface or a volumetric data series) corrupted by a Gaussian noise with unknown variance. It is often of interest to know more about this variance. EVAR(Y) thus returns an estimated variance of the additive noise.EVAR provides...


Platforms: Matlab

This fuction uses the "variance ratio test" and the "rkp" associated functions to compute the variance ratio ,the tests statistics and the corresponding p-values based on randomization (simulation).


Platforms: Matlab

Besides the power estimation it makes the hypothesis testing concerning the one-sample variance. The function only needs the sample variance, the sample size, the hypothesized value and the significance level.


Platforms: Matlab

(p)IPHULA is a software that investigates parameters of population history based on a Monte Carlo simulation using the maximum likelihood framework. Further details on how to compile, install, run, and use this program can be found in the (p)IPHULA manual (PDF). Reference: The method is...


Platforms: Mac

Statistics fundamentals of the Correspondence Analysis (CA) is presented in the CORRAN and MCORRAN1 m-files you can find in this FEX author''s page. CA can be extended to more than two categorical variables, called Multiple Correspondence Analysis (MCA). CA and MCA are graphical techniques for...


Platforms: Matlab

This program is an implementation of nondominated sorting genetic algorithm II (NSGA-II) proposed by K. Deb. Capabilities:1. R-NSGA-II: Reference-point-based NSGA-II.2. Coding: real, integer.3. GA operator: Intermediate crossover, Gaussian mutation.4. Constraint handling.5. Parallel computation...


Platforms: Matlab

Whereas standard deviation and variance are measures of absolute variance, the coefficient of variation is a measure of relative variance. This is generally useful to compare several data sets. It can also be used as a simple quality indicator. The definition used here is ratio of standard...


Platforms: Matlab

Estimates the statistical power of an analysis of variance Model II (random-effects) after it has been performed. It requires the observed F-statistic value, numerator degrees of freedom, denominator degrees of freedom and significance level.


Platforms: Matlab

POPULATION = DETABULATE(TABLE), where the first column of the matrix TABLE contains values, and the second column contains respective frequency counts, returns the original population matrix (POPULATION). In this manner, its functionality is reverse that of the Statistics toolbox function...


Platforms: Matlab

Estimating of the statistical power of a performed (a posteriori) single factor Multivariate Analysis of Variance (MANOVA).It needs to input the observed parameters among two possible options. Option 1: multivariate observed F-statistic, numerator degrees of freedom, denominator degrees of...


Platforms: Matlab

Sample size required in tests concerning the variance, employing the Chi-square distribution and solved by iterative fashion (directed trial and error). This means that we enter an initial value for n in order to obtain a better estimate. It only needs the sample variance, expected (hypothesized)...


Platforms: Matlab

Sample size required to achieve a specified test for difference between two variances, using the normal approximation. This estimate assumes equal or unequal sample sizes. File only needs the sample size vector, variance vector, hypothesis direction, desired sample size (equal or unequal), sizes...


Platforms: Matlab