Principal Components Analysis with "R" (Part: 001)

December 7, 2011

(This article was first published on NIR-Quimiometría, and kindly contributed to R-bloggers)

This is the first “post” of my new adventure with a software that I consider very interesting and that give to people the oportunity to work with Chemometrics (“R” is free).
To follow these examples, yo can download the following article:
“Multivariate Statistical Analysis using the R package chemometrics

Decidimos seleccionar 5 CP, que explican casi el 80% de las varianza en este ejemplo.
We decided to select 5 PCs, which explain almost the 80% of the variance for this example.

To leave a comment for the author, please follow the link and comment on their blog: NIR-Quimiometría. offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...


Comments are closed.