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

Автор: Chemometrics & Machine Learning in Copenhagen

Загружено: 2016-09-14

Просмотров: 11148

Описание: 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()

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

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