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Dear list, One year ago, some of you had wished for an English version of my web page "Statistiques avec R". The translation is now completed. As the French version, this document is still unfinished, probably full of mistakes -- but...
On 7 January 2012 19:48, drflxms <drflxms at googlemail.com> wrote: > as I am dealing with complex confusion matrices, I wonder whether there > might be a way to colour text/tabular data in R. I.e. imagine > highlighting the...
On 9 January 2012 08:53, Phil Wiles <philip.wiles at gmail.com> wrote: > I have a multidimensional array - in this case with 4 dimensions of x,y,z > and time. ?I'd like to take the time derivative of...
You can use the XML package to parse the page and extract the contents of the table: library(XML) index <- "^DJI" url <- paste("http://uk.finance.yahoo.com/q/cp?s=", index, sep="") symbols <- readHTMLTable(url, as.data.frame=FALSE...
The command help.search("density") which you should have tried if you had read the posting guide, returns, among others, "kde2d", in package MASS. -- Vincent On 4/22/05, Bernard Palagos <bernard.palagos at montpellier.cemagref.fr> wrote: > hello > sorry...
State Street Global Advisors (one of the world's leading assets management companies)'s alternative strategies group is looking for interns able to bring a significant contribution to our R&D projects. Here are some of the directions we are...
The following article gives some motivations for the BIC and some rules to interpret a difference of BICs (if I recall correctly, over 10: very strong difference, between 6 and 10: strong difference, between 2 and 6: some difference): A...
Here are a few ideas to cluster time series, with more references. 1. Build the minimum spanning tree on the correlation matrix. The result is usually very noisy: you may want to resample the data to see how the trees...
If I understand your problem, you are computing the difference between your data and the quantiles of a standard gaussian variable -- in other words, the difference between the data and the red line, in the following picture. N <- 100 # Sample...
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