Thank you, Bill, for your reply. However, I'm afraid I didn't explain myself
properly.
Imagine you have a 2x2 matrix
Then the eigenvalues lambda_1 and lambda_2 are analytically calculated from
lambda_1 = (-b+sqrt(delta))/2a
lambda_2 = (-b-sqrt(delta))/2a
where delta = b^2-4ac
If
I’m using R 3.1.3 in OS X 10.10.3 (Yosemite)
I use the function “eigen” to calculate the eigenvalues of matrix where each
element is sampled from a given distribution (normal, beta, etc.).
According to the information provided:
values
a vector containing the p eigenvalues of x, sorted in
Thank you very much, David,
Luís
On 04 Aug 2014, at 17:24, Luis Borda de Agua lbagua.cl...@gmail.com wrote:
Dear David
Thank you very much for your reply. Ive only seen it now.
I tried length(warnings) and I got a strange result.
When I used
lw - length(warnings)
print(lw)
I
Dear David,
Once again, thank you very much for your email.
I believe I understand why I got a different number of warnings.
It seems that when you type length(warnings) you keep the information on the
run before the last.
I come up with a simple example called testing (you will need to
Dear David
Thank you very much for your reply. Ive only seen it now.
I tried length(warnings) and I got a strange result.
When I used
lw - length(warnings)
print(lw)
I obtained lw=36
however, the number of warnings was 38 according to message to screen:
There were 38 warnings (use
I’m using R 3.1.0 in OS X 10.9.4 (Mavericks)
I’m running a function Y that calls a function X which occasionally generates a
warning.
Say that I call the function X 1000 times, and out of these 1000 times I get
the following message:
There were 36 warnings (use warnings() to see them)
How
I want to fit a bi-Weibull distribution, as defined by Evans et al. in their
book Statistical distributions:
http://www.scribd.com/doc/57260630/164/FIVE-PARAMETER-BI-WEIBULL-DISTRIBUTION
I would like to know if there is any package in R that already does it, or any
quick procedure to
Hi,
I have used the instruction aov in the following manner:
res - aov(qwe ~ asd)
when I typed res I get:
_
Call:
aov(formula = qwe ~ asd)
Terms:
asd Residuals
Sum of Squares 0.0708704 0.5255957
Deg. of Freedom 1 8
Residual standard error:
I would like to have a list where each element is a matrix, for example:
my.list - list(matrix(0, ncol=3, nrow=3),
matrix(0, ncol=3, nrow=3),
matrix(0, ncol=3, nrow=3))
The problem is, I would like to be able to change automatically the number of
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