treeda_example: Example dataset

In treeDA: Tree-Based Discriminant Analysis

Description

A small example dataset with three components, stored as a list with a vector containing the classes (response), a matrix containing the predictor variables (predictors), and a tree describing the relationships between the predictor variables (tree). The dataset consists of 50 samples divided into two classes and 100 taxa/predictor variables, related to each other by a random tree (generated with ape::rtree). A set of 42 taxa descending from one internal node are all over-represented in one class and under-represented in the other. The predictors element in the list contains real numbers, not counts, and is supposed to reflect normalized taxon abundances (e.g., normalization using the variance-stabilizing transformation in DESeq2).

Format

A list containing response variables, predictor variables, and a tree describing the relationship between the predictor variables.

treeDA documentation built on May 15, 2021, 1:07 a.m.