Greetings,
I am struggling a bit with a non-linear regression. The problem is
described below with the known values r and D inidcated.
I tried to alter the start values but get always following error
message:
Error in nlsModel(formula, mf, start, wts):
singular gradient matrix at initial
cbind(x=x, y=y)
}
So if your data were in a matrix or data.frame X...
efit - fit.ellipse( X )
e - get.ellipse( efit )
plot(X)
lines(e, col=red)
Hope this helps,
Michael
On 29 September 2010 23:45, Niklaus Hurlimann niklaus.hurlim...@unil.ch wrote:
Dear mailing list,
I have following array
Dear mailing list,
I have following array:
X2 Y2
[1,] 422.7900 6.0
[2,] 469.8007 10.5
[3,] 483.9428 11.0
[4,] 532.4917 25.5
[5,] 596.1942 33.5
[6,] 630.8496 40.5
[7,] 733.2996 45.0
[8,] 946.4779 32.0
[9,] 996.8068 35.5
[10,]
Hi R-mailing list
I would have the following set-up below with a simplified data-frame.
Through a loop which includes certain criteria for the densities I would
like to plot the different density-distributions in the same plot. Of
course I hope I don't do any mistakes with all the indexes of the
Hi R mailing list,
probably a very basic problem here, I try to do the following:
Q-c(1,2,3)
P-c(4,5,6)
A- data.frame(Q,P)
A
Q P
1 1 4
2 2 5
3 3 6
this is my simplified data.frame (matrix) now I try to create following
loop for subtraction of element within the data.frame:
for(i in
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