Anova (version 1.2.1)

**Authors** Gildas Le Corguille ABiMS - UPMC/CNRS - Station Biologique de Roscoff - gildas.lecorguille|at|sb-roscoff.fr
Melanie Petera - PFEM ; INRA ; MetaboHUB

Analysis of variance (ANOVA) is used to analyze the differences between group means and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of variation.

**Note about sum of squares (SS) calculation of N-way ANOVA in this module.**
This module use R function *manova()* (and thus R function *aov()*) to establish N-way ANOVA.
Therefore calculated sum of squares are sequential ones (sometimes called "Type I SS").
If your design is unbalanced, this may not correspond to the type of hypothesis being of interest.
Note that you can obtain adjusted sums of squares ("Type II SS") by running several times this module with different orders in factors.

Parameter : num + label | Format |
---|---|

1 : Data Matrix file | Tabular |

2 : Sample Metadata file | Tabular |

3 : Variable Metadata file | Tabular |

***.anova_pvalue.tabular**

Your variable metadata file completed with columns of p-values, result of selection method and means of subgroups.

***.anova_signif.pdf**

A pdf file containing a Venn diagram and boxplots of significant variables.

The outputs ***.anova_filtered.tabular** is a tabular file. You can continue your analysis using it in the following tools:

Generic_filterHierarchical Clustering