Welcome to
RANOVA - RGLM's ANOVA

Simply select the design that you have data for, input the data and click the submit button. The output will be generated for the hypotheses of interest. Each input page has an example data set that you can use as a test. The designs with covariates are towards the bottom of the page.

One-way, performs a robust one-way analysis. Calculates the reduction in dispersion F-Statistic for the hypothesis that all the cell locations are the same.

One Sample, calculates Signed Rank Wilcoxon test statistic and distribution free CI for θ the location parameter.

Paired, calculates Signed Rank Wilcoxon test statistic and distribution free CI for θ the location parameter of the paired data.

Simple Regression, performs robust regression. The Wilcoxon score function is used to determine the R-estimate of the slope and the intercept is estimated by the median of the residuals. Calculates the reduction in dispersion F statistic for the hypothesis the slope is to zero.

Two-way, performs a robust two-way analysis. Calculates the reduction in dispersion F-Statistic for the test of interaction and main effects.

Two Sample, calculates the Mann-Whitney-Wilcoxon test statistic and a distribution free CI for δ the difference in locations paramters.

Additive, performs a robust two-way analysis assuming the factors do not interact. Calculates the reduction in dispersion F-statistic for the test of main effects.

K-Way, performs a robust k-way analysis. Calculates the reduction in dispersion F-Statistic for the tests of interaction and main effects.

Multiple Regression, performs robust multiple regression. The Wilcoxon score function is used to determine the R-estimate of the coefficients of the independent variables and the intercept is estimated by the median of the residuals. Calculates the reduction in dispersion F statistic for the hypothesis that all beta's are zero. In the future the user will be able to specify a subset of the betas.

RGLM Format Page, allows for user input of design matrix and hypotheses matrices. These have to be in RGLM format. For a pdf version of a mini-manual Click Here

Analysis of Covariance Models

Oneway, performs a robust oneway with covariates analysis. Calculates the F-Statistic for the hypotheses that all the cell locations are the same and that the covariates are zero.

Twoway, performs robust two-way with covariates analysis. Calculates the reduction in dispersion F-Statistic for tests of main effects, interaction and covariate effect.

Additive, performs robust two-way with covariates analysis assuming the factors do not interact. Calculates the reduction in dispersion F-Statistic for test of main effect and covarite effect.

K-way, performs robust k-way analysis. Calculates the reduction in dispersion F-Statistic for tests of main effect, covariate effect and interactions.