Displaying 3 results from an estimated 3 matches for "indeterminacy".
2002 Nov 07
0
OT : sensible analysis of censored rank data
...form of
Thurstone scaling. If I wrapped this in the function called by boot ..
a unique ordination solution for each sample draw, mapped to 1="B
has highest value"/ 0 otherwise .. then perhaps I might be on the
right track. (I guess I would have to do something about scale
flip/flop, indeterminacy).
If this floundering around makes any sense to anyone .. perhaps
someone who has worked with such data .. I'd appreciate some
feedback.
Regards
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2009 Oct 09
2
lm output
Hi All
I am running a linear regression using the lm object.
In the event that my independent variable is the same across all
observations the regression slope is returned as an NA.
For example, if I have the following
y=c(10,12,17)
x=c(5,5,5)
lm = lm(y~x)
produces the following
Coefficients:
(Intercept) x
13 NA
Other than post-processing the results, is
2008 Sep 09
1
Addendum to wishlist bug report #10931 (factanal) (PR#12754)
...of unit variance, and that the errors be
independent with variances \eqn{\Phi}{Phi}, the
\emph{uniquenesses}. Thus factor analysis is in essence a model for
the covariance matrix of \eqn{x},
\deqn{\Sigma = \Lambda^\prime\Lambda + \Psi}{Sigma = Lambda'Lambda + Psi}
There is still some indeterminacy in the model for it is unchanged
if \eqn{\Lambda}{Lambda} is replaced by \eqn{G\Lambda}{G Lambda} for
any orthogonal matrix \eqn{G}. Such matrices \eqn{G} are known as
\emph{rotations} (although the term is applied also to non-orthogonal
invertible matrices).
If \code{covmat} is suppl...