# Single-factor analysis of variance test. in matlab

The following Matlab project contains the source code and Matlab examples used for single-factor analysis of variance test. . Computes the single-factor Analysis of Variance Model I or Model II for equal or unequal sample sizes.

# Single-factor analysis of variance test using only means and variances. in matlab

The following Matlab project contains the source code and Matlab examples used for single-factor analysis of variance test using only means and variances. . Computes a single-factor analysis of variances test using only means and variances(without data).

# Three-way analysis of variance with repeated measures on two factors test. in matlab

The following Matlab project contains the source code and Matlab examples used for three-way analysis of variance with repeated measures on two factors test. . This is a three-factor analysis of variance design in which there are repeated measures on two of the factors.

# Three-way analysis of variance with repeated measures on one factor test. in matlab

The following Matlab project contains the source code and Matlab examples used for three-way analysis of variance with repeated measures on one factor test. . This m-file is a three-factor analysis of variance design in which there are repeated measures on only one of the factors.

# Three-way analysis of variance with repeated measures on three factors test. in matlab

The following Matlab project contains the source code and Matlab examples used for three-way analysis of variance with repeated measures on three factors test. . This is a three-factor analysis of variance design in which all factors are within-subjects variables.

# Repeated measures single-factor analysis of variance test. in matlab

The following Matlab project contains the source code and Matlab examples used for repeated measures single-factor analysis of variance test. . One-way repeated measures ANOVA is used to analyze the relationship between the independent variable and dependent variable.

# Iterated principal factor method (principal axis factoring) without data. in matlab

The following Matlab project contains the source code and Matlab examples used for iterated principal factor method (principal axis factoring) without data. . This m-file deals with the iterated principal factor method (principal axis factoring) thru the R-correlation matrix (without the matrix of data), the latent root criterion, iteration convergence criterion, and uses the varimax factor rotation.

# Iterated principal factor method (principal axis factoring). in matlab

The following Matlab project contains the source code and Matlab examples used for iterated principal factor method (principal axis factoring). . This m-file deals with the iterated principal factor method (principal axis factoring) thru the complete data matrix, the latent root criterion, iteration convergence criterion, and uses the varimax factor rotation.

# Factor analysis by the principal components method without data. in matlab

The following Matlab project contains the source code and Matlab examples used for factor analysis by the principal components method without data. . This m-file deals with the principal component solution of the factor model thru the R-correlation matrix (without the matrix of data; one can also input a covariance matrix), the latent root criterion, and uses the varimax factor rotation.

# Factor analysis by the principal components method. in matlab

The following Matlab project contains the source code and Matlab examples used for factor analysis by the principal components method. . This m-file deals with the principal component solution of the factor model thru the complete data matrix, the latent root criterion, and uses the varimax factor rotation.