RANOVA - RGLM's ANOVA

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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

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. ## Analysis of Covariance Models

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.