wrapperClassic1wayAnova {DAPAR} | R Documentation

## Wrapper for One-way Anova statistical test

### Description

Wrapper for One-way Anova statistical test

### Usage

    wrapperClassic1wayAnova(obj, with_post_hoc = "No", post_hoc_test = "No")

### Arguments

`obj` | An object of class `MSnSet`.
`with_post_hoc` | a character string with 2 possible values: "Yes" and "No" (default) saying if function must perform a Post-Hoc test or not.
`post_hoc_test` | character string, possible values are "No" (for no test; default value) or TukeyHSD" or "Dunnett". See details of `postHocTest()` function to choose the appropriate one.

### Details

This function allows to perform a 1-way Analysis of Variance. Also computes the post-hoc tests if the `with_post_hoc` parameter is set to yes. There are two possible post-hoc tests: the Tukey Honest Significant Differences (specified as "TukeyHSD") and the Dunnett test (specified as "Dunnett").

### Value

A list of two dataframes. First one called "logFC" contains all pairwise comparisons logFC values (one column for one comparison) for each analysed feature (Except in the case without post-hoc testing, for which NAs are returned.); The second one named "P_Value" contains the corresponding p-values.

### Author(s)

Hélène Borges

### See Also

[postHocTest()]

### Examples

    utils::data(Exp1_R25_prot, package='DAPARdata')
    obj <- Exp1_R25_prot[1:1000]
    level <- obj@experimentData@other$typeOfData
    metacell.mask <- match.metacell(GetMetacell(obj), 'missing', level)
    indices <- GetIndices_WholeMatrix(metacell.mask, op='>=', th=1)
    obj <- MetaCellFiltering(obj, indices, cmd='delete')
    anovatest <- wrapperClassic1wayAnova(obj$new)

[Package DAPAR version 1.24.8 Index]