4 - PCA estimation, centering/scaling, variance explained and biplot

This video conceptually shows the estimation of principal components, go through the math of centering and scaling and gives intuition on interpretation of biplot and global- vs local (variable wise) variance explained. Data used in this series can be downloaded as an R packages: devtools::install_github('mortenarendt/DataAnalysisinFoodScience') library(ggplot2) qplot(data = DAinFoodScience::coffeetemppanel, Sample, Intensity,color = factor(Assessor), group = factor(Assessor):factor(Replicate)) + geom_line()