Chunk #34 — Implementation — Interpretation of percent variance explained

Source

variancePartition: interpreting drivers of variation in complex gene expression studies.

Embedded

yes

Text

18\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$\begin{array}{@{}rcl@{}} &=& cor(\mu + \alpha_{1} + \varepsilon_{1,1}, \mu + \alpha_{2} + \varepsilon_{1,2}) \end{array} $$ \end{document}=cor(μ+α1+ε1,1,μ+α2+ε1,2)