4 - PCA estimation, centering/scaling, variance explained and biplot
Автор: Chemometrics & Machine Learning in Copenhagen
Загружено: 2016-09-14
Просмотров: 11144
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()
Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке: