Yeast_hughes

The data is a small subset of the full dataset from Hughes et al. (2000).

datasets

Heller-Heller-Gorfine tests are a set of powerful statistical
tests of multivariate k-sample homogeneity and independence (Heller et. al., 2013, <doi:10.1093/biomet/ass070>). For the univariate
case, the package also offers implementations of the 'MinP DDP' and 'MinP ADP'
tests by Heller et. al. (2016), which are consistent against all continuous alternatives but are
distribution-free, and are thus much faster to apply.

Barak Brill

Heller-Heller-Gorfine Tests of Independence and Equality of
Distributions

Yeast_hughes function

A data frame for 10 S. cerevisae (which is a common and well-studied species of Yeast) genes (stored in rows) and 300 expression observations (stored in columns). The 10 genes are those positioned 10, 20, 30, 40, 50, 60, 70, 80, 90, and 100 in chromosome I in the original data (see link below).

Yeast_hughes: Yeast gene expression data

Description

Usage

Arguments

Format

References

Examples