[R] ls.diag and lsfit very basic question
jwiley.psych at gmail.com
Sun Jan 23 02:21:11 CET 2011
Yes, that is basically the idea. It is defined as:
stddev <- (colSums(as.matrix(resids^2))/(n - p))^0.5
Where n is the number of rows in the residual matrix and p is the rank
of the QR decomposition. I believe the reason they are slightly
different is that the mean of the residuals is not necessarily exactly
On Sat, Jan 22, 2011 at 2:54 PM, MM <finjulhich at gmail.com> wrote:
> Is the "std.dev" component of ls.diag( lsfit(x,y) ) the sample standard
> deviation of the residuals of the fit?
> I have
> different from
> where xx and yy are vectors of 5 elements.
> R-help at r-project.org mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
Ph.D. Student, Health Psychology
University of California, Los Angeles
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