259 search results for "PCA"

All together now – Confirmatory Factor Analysis in R

December 8, 2010
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Describing multivariate data is not easy. Especially, if you think that statisticians have not developed any new tools after the ANOVA and principal component analysis (PCA). For social and experimental scientists the most important new technique are structural equation models that combine measurement models (that substitute reliability analysis and PCA) and structural models (that substitute

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formatR update (0.1-5)

December 3, 2010
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he formatR package has been silent for quite a few months now. Recently I’ve been moving my old packages from R-Forge to GitHub, and I finally killed several things on my TODO list. In the past, I made an awkward decision to let formatR depend on the animation package, which was ridiculous. Ronggui suggested me

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Statistique de l’assurance STT6705V, partie 12

December 2, 2010
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Statistique de l’assurance STT6705V, partie 12

The final course (since courses end this week in Montréal) can be watched here and there. The drawings from the course can be downloaded here (including last week's). First, to come back on last week's course , we considered Lee-carter model, i.e....

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Rd2roxygen: Convert Rd to roxygen documentation

December 1, 2010
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must admit that I have been tired of maintaining my R packages for a long time, and the main reason is I feel really uncomfortable with writing R documentations (Rd). The required structure of an R package mainly includes two directories R and man — the former for the R source code (typically functions), and

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Principal Component Analysis: Which variables contribute most to principal components ?

November 23, 2010
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Principal component analysis (PCA) is a mathematical transformation of possibly(correlated) variables into a number of uncorrelated variables called principal components. The resulting components from this transformation is defined in such a way that t...

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Principal Component Analysis: Which variables contribute most to principal components ?

November 23, 2010
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Principal component analysis (PCA) is a mathematical transformation of possibly(correlated) variables into a number of uncorrelated variables called principal components. The resulting components from this transformation is defined in such a way that t...

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My Day at ACM Data Mining Camp III

November 13, 2010
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My Day at ACM Data Mining Camp III

My first time at ACM Data Mining Camp was so awesome, that I was thrilled the make the trip up to San Jose for the November 2010 version. In July, I gave a talk at the Emerging Technologies for Online Learning Symposium conference with a faculty member in the Department of Statistics, at the Fairmont. The place was amazing,...

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An analysis of the Stackoverflow Beta sites

November 1, 2010
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An analysis of the Stackoverflow Beta sites

In the last six months or so, the behemoth of Q & A sites stackoverflow, decided to change tack and launch a number of other non-computing-language sites. To launch a site in the stackoverflow family, sites have to spend time gathering followers in Area51. Once a site has gained a critical mass, a new StackExchange

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How to Start Using (pgf)Sweave in LyX in One Minute

October 30, 2010
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regor Gorjanc published an interesting article “Using Sweave with LyX” in R News in 2008, which (I believe) makes it much easier to use Sweave. I use command-line tools a lot every day, but I am still “GUI-addicted”. (I don’t want to comment more about Microsoft Word here.) LyX is a somewhat WYSIWYG tool based

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Grabbing Tables in Webpages Using the XML Package

October 24, 2010
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ables are pretty common in web pages as data sources, and the most direct way to get these data is probably to copy and paste. This is OK if there are only two or three tables, and when we need to grab 5000 tables in 1000 web pages, we may not really wish to fulfill

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