Hi On 28 Aug 2006 at 10:50, Lord Tyranus wrote:
Date sent: Mon, 28 Aug 2006 10:50:15 -0600 From: "Lord Tyranus" <[EMAIL PROTECTED]> To: r-help@stat.math.ethz.ch Subject: [R] Help with Functions > Hello wizards, I need to convert the following functions (prestd, > poststd, prepca) of matlab to R. Does Somebody knows how to do it. A > description of the functions is: > > prestd preprocesses the network training set by normalizing the inputs > and targets so that they have means of zero and standard deviations of > 1. Maybe scale function > > poststd postprocesses the network training set which was preprocessed > by prestd. It converts the data back into unnormalized units. work with attributes of scaled values. HTH Petr > > prepca preprocesses the network input training set by applying a > principal component analysis. This analysis transforms the input data > so that the elements of the input vector set will be uncorrelated. In > addition, the size of the input vectors may be reduced by retaining > only those components which contribute more than a specified fraction > (min_frac) of the total variation in the data set. > > Thanks in advance. > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html and provide commented, > minimal, self-contained, reproducible code. Petr Pikal [EMAIL PROTECTED] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
