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....000 Q -0.857 0.394 0.331 -0.429 -0.903 -0.034 0.286 -0.171 0.943 Which seems to agree with the results of 'R' This same matrix on http://en.wikipedia.org/wiki/QR_decomposition R 14 -21 14 0 175 -70 0 0 35 Q 6/7 -69/175 -58/175 3/7 158/175 6/175 -2/7 6/36 -33/35 I have yet another algoithm that puts the R matrix as: -14 -21 14 0 -175 70 0 0 35 And Q as: Q: -0.8571 0.3943 -0.3314 -0.4286 -0.9029 0.0343 0.2857 -0.1714 -0.9429 So Wikipedia shows different signs but the property X = QR holds in all cases. My question is are there any gotchas (similar to the sign for tan) that I...

I tried optim using the SANN algoithm. To start things out I tried the example of solving the "traveling salesman" problem as given in the documentation. The example works just fine. But if I comment out the line: set.seed(123) # chosen to get a good soln relatively quickly More often than not it doesn't converge to the...

I have a problem either understanding what loess is doing or that loess has a problem itself. As the x-axis variables become more concentrated on a particular point,the estimated loess tends to zero????. the examples below show what i am talking about, why is that? my intution tells me that it should tend to the mean of the variable which is been smoothed. Here's a worked up example x

http://bugzilla.mindrot.org/show_bug.cgi?id=105 markus at openbsd.org changed: What |Removed |Added ---------------------------------------------------------------------------- Status|NEW |ASSIGNED ------- Additional Comments From markus at openbsd.org 2002-02-07 06:54 ------- could you please try this without scp? e.g.

I have the following function for which I need to find the root of a: f <- function(R,a,c,q) sum((1 - (1-R)^a)^(1/a)) - c * q To give context for the problem, this is a psychometric issue where R is a vector denoting the percentage of students scoring correct on test item i in class j, c is the proportion correct on the test by student k, and q is the number of items on the test in total. I