Chunk #29 — Implementation — Interpretation of percent variance explained

Source

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

Embedded

yes

Text

13\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$\begin{array}{@{}rcl@{}} &=& cor(\mu + \alpha_{k} + \varepsilon_{1,k}, \mu + \alpha_{k} + \varepsilon_{2,k}) \end{array} $$ \end{document}=cor(μ+αk+ε1,k,μ+αk+ε2,k)