“Statistics with R” is a great R graphics & stats website. It provides lots of R examples, covering many analytics topics. It is also available as a PDF document to download at the website, as well as the R codes. … Continue reading →
168 search results for "PCA"
Statistics with R – Lots of R Examples
Principal Components Analysis with "R" (Part: 001)
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 S...
PCA file calculation with "R".
X es la matriz centrada (X is the centered matrix). Xcov es la matriz de covarianzas de X (Xcov is the covariance matrix of X).Con la función "eigen" calculamos los "eigenvectors" y "eigenvalues" de Xcov.(With the function "eigen" we calculate the "ei...
Empirical Orthogonal Function (EOF) Analysis for gappy data
The following is a function for the calculation of Empirical Orthogonal Functions (EOF). For those coming from a more biologically-oriented background and are familiar with Principal Component Analysis (PCA), the methods are similar. In the climate sciences the method is usually used for the decomposition of a data field into dominant spatial-temporal modes.
Read...Web Scraping Yahoo Search Page via XPath
Seeing as I’m on a bit of an XPath kick as of late, I figured I’d continue on scraping search results but this time from Yahoo.com Rolling my own version of xpathSApply to handle NULL elements seems to have done the trick and so far it’s been relatively easy to do the scraping. I’ve created 
A New Dimension to Principal Components Analysis
In general, the standard practice for correcting for population stratification in genetic studies is to use principal components analysis (PCA) to categorize samples along different ethnic axes. Price et al. published on this in 20...
Pair trading strategy : how to use "PairTrading" package
Mr.Ishikawa(my old friend) and I developed "PairTrading" package, and uploaded it on CRAN.
This article shows you how you can use it.The pair trading is a market neutral trading strategy and gives traders a chance to profit regardless of market conditions. The idea of this strategy is quite simple.
1 : Select two stocks(or any assets) moving similarly
2 : Short...
Principal component analysis : Use extended to Financial economics : Part 2
My previous post talked about how we can employ PCA on the data for multiple stock returns to reduce the number of variables in explaining the variance of the underlying data. But the idea was greeted with skepticism by many. A caveat to the applicatio...
R Tools for FEC Campaign Finance Disclosure Data
For my first contribution to the blog, I wanted to make some kind of enlightening visualization of campaign finance disclosure data from the Federal Election Commission’s website. It looks like they’re working on some new, easy-to-use data dumps here, but … Continue reading →
Principal component analysis : Use extended to Financial economics : Part 1
While working for my Financial economics project I came across this elegant tool called Principal component analysis (PCA)which is an extremely powerful tool when it comes to reducing the dimentionality of a data set comprising of highly correlated var...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
