Pvalue

Fisher's exact test is a statistical test used to determine if there are nonrandom associations between two categorical variables[1]. The job of Fisher's exact test with 2 x 2 or 2x 3 contingency table is already easily done by others. However, the one with n x m contingency table hasn't found ,... Platforms: Matlab

A simple, fast and short code for beginners, who cares about Fisher's Exact Test, . As a beginner, at least you need to know what we do with Fisher's Exact Test (see [1][2]). My function is simple, Pvalue = FisherExactTest22(x,y) Input: either 2*2 contigency table or two vectors, Output: four... Platforms: Matlab

This file execute the non parametric Wilcoxon test to evaluate the difference between paired (dependent) samples. If the number of difference is less than 15, the algorithm calculate the exact ranks distribution; else it uses a normal distribution approximation.Now, the MatLab function SIGNRANK... Platforms: Matlab

calculates Cpk value and confidence intervall with matrices containing NaN'salong different dimensions and with individual p-value.contains code from Jan GldoTAscher's "NaN Suite)" #6837 Platforms: Matlab

The Friedman test is a non-parametric statistical test developed by the U.S. economist Milton Friedman. Similar to the parametric repeated measures ANOVA, it is used to detect differences in treatments across multiple test attempts. The procedure involves ranking each row (or block) together,... Platforms: Matlab

Compares probabilities of two binomial samples X, Y from a Bernoully experiments with probability p1 for set X and p2 for set YTest the null hypothesis H_0: p1 = p2 vs alternatives H_1: p1 > p2 H_2: p1 < p2 H_3: p1 != p2 Input: X - row of 0 or 1 Y - row of 0 or 1 Output: z - normal statistics... Platforms: Matlab

Input:z valueOutput:One tail and two tail p-value. Platforms: Matlab

As you know, the Student t-test can be used only to compare two groups. When you have k groups you can't use a t-test for each couple because, if you have fixed alpha=0.05 for each t-test, there is a probability of k*0.05 to find a difference when it isn't (Bonferroni inequality).The Holm-Sidak... Platforms: Matlab

From the covariance matrices (without data), groups size vector and a significance level (default = 0.05), the homogeneity covariance matrices are testing by the Box's M, it gives a Chi-square or F approximation in function of the groups sample-size.Outputs are the Box's M statistic,... Platforms: Matlab

Probability of obtaining a Mann-Whitney's U of two random variables with continuous cumulative distribution. It's based on the Mann-Whitney (1947). This procedure is highly recommended for sample sizes n1 and n2 Platforms: Matlab

kstest_2s_2d.m: function to do two-sample two-dimensional Kolmogorov-Smirnov testIt's similar to the MATLAB built-in funtion "kstest2" from Statistics Toolbox except that "kstest_2s_2d" deals with two-dimensional data.[H, pValue, KSstatistic] = kstest_2s_2d(x1, x2, alpha, tail);The function takes... Platforms: Matlab

Fligner-Policello is a non-parametric test of two combined random variables with continuous cumulative distribution. It is a robust rank-order test of treatment effects for populations which assumes neither normality nor equal variances (Behrens-Fisher problem). It does one assumption, which is... Platforms: Matlab

smoothSet Change property values smoothly.smoothSet(object, transitionTime, propertyName, propertyValue) sets the value of the specified property in increments so that over the transitionTime it changes from its initial value to the specified value. The transition is smoothed by using the... Platforms: Matlab

This script computes the Pearson???*a*?s Chi-Squared Statistic for a contingency table with m groups and n observations (m rows and n columns). For 2x2 tables the p-value, *log10 p-value, Bonferroni p-value and *log10 Bonferroni p-value are also computed. Platforms: Mac