| treeda_example {treeDA} | R Documentation |
Example dataset
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.