Massey University

Workshop C05: Multiple Linear Regression, ANOVA, Collinearity

## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ## ggplot2 3.3.6 purrr 0.3.4 ## tibble 3.1.8 dplyr 1.0.10 ## tidyr ...
JSTOR Daily

ANOVA Models with Random Effects: An Approach via Symmetry

The standard ANOVA models with random effects for multi-indexed arrays of random variables with an arbitrary nesting structure on the indices are considered from the viewpoint of symmetry. It is found ...
Nature

Statistical and Quantitative Genetics

Statistical and quantitative genetics form the backbone of modern biological research by providing the mathematical framework to dissect complex traits. By integrating sophisticated statistical models ...
JSTOR Daily

Variance estimation in high-dimensional linear models

The residual variance and the proportion of explained variation are important quantities in many statistical models and model fitting procedures. They play an important role in regression diagnostics ...
Massey University

Workshop C05: Multiple Linear Regression, ANOVA, Collinearity

In this workshop we look at where we have more than one predictor in our linear model. Start by downloading labC05.Rmd and load it into RStudio. Any text in italics reminds you that you need to have a ...