# MultipleMeans: 'MultipleMeans' In NumbersInternational/flipAnalysisOfVariance: Functions for computing ANOVA, MANOVA, and related methods

## Description

Compares means of multiple outcomes on a categorical predictor.

## Usage

 ```1 2 3 4 5``` ```MultipleMeans(outcomes, predictor, subset = NULL, weights = NULL, correction = "Table FDR", robust.se = FALSE, missing = "Exclude cases with missing data", show.labels = FALSE, seed = 1223, p.cutoff = 0.05, title = "", subtitle = "", footer = "") ```

## Arguments

 `outcomes` The outcome variables. `predictor` The factor representing the groups. `subset` An optional vector specifying a subset of observations to be used in the fitting process, or, the name of a variable in `data`. It may not be an expression. `subset` may not `weights` An optional vector of sampling weights, or, the name or, the name of a variable in `data`. It may not be an expression. `correction` The multiple comparison adjustment method: ```"Table FDR", "Tukey Range", "None", "False Discovery Rate", "Benjamini & Yekutieli", "Bonferroni", "Free Combinations"```, ```"Hochberg", "Holm", "Hommel", "Single-step"``` `"Shaffer"`, and `"Westfall"`. `robust.se` Computes standard errors that are robust to violations of the assumption of constant variance. This parameter is ignored if weights are applied (as weights already employ a sandwich estimator). `missing` How missing data is to be treated in the ANOVA. Options: `"Error if missing data"`. `"Exclude cases with missing data"`, and `"Imputation (replace missing values with estimates)"`. `show.labels` Shows the variable labels, as opposed to the labels, in the outputs, where a variables label is an attribute (e.g., attr(foo, "label")). `seed` The random number seed used when evaluating the multivariate t-distribution. `p.cutoff` The alpha level to be used in testing. `title` The title to appear in the output. `subtitle` The footer to appear in the output. `footer` The footer to appear in the output. `...` Other parameters to be passed to `OneWayANOVA`.

## Details

Computes multiple ANOVAs.

Conducts multiple `OneWayANOVA`s, and puts them in a list. If `correction` is `"Table FDR"`, the false discovery rate correction is applied across the entire table. All other corrections are performed within rows. Additional detail about the other parameters can be found in `OneWayANOVA`.

NumbersInternational/flipAnalysisOfVariance documentation built on Nov. 20, 2019, 8:56 p.m.