Hi,
First of all a big THANK YOU to all who answered me
yesterday.
I am back to my problems with outliers. I did a qqnorm on my
data (as somebody suggested), but I will like to compare results
doing other plots as well. I used �cook.distance� on lm and glm
objects, but still I am not happy with that.
So now I am loading the �vardiag� package. First thing is to
transform my data (frame.data) into a matrix � which I did with
�as.matrix�. I verify my new object as being amatrix � and it is,
and I list it to be sure that in is a matrix of n rows with 3 colums.
Now I want to use the command �varobj� to transform my
matrix into a variogram object.
The param are:
varobj(m, iter = 50, tolerance = 2e-04, trace = 1, loo = F)
where, m is a n by 3 matrix with spatial data.
My matrix has a column for x value, for y value and for pah16
concentrations.
I always get the following error:
Error in matrix(i1[row(i1) < col(i1)], n1, n1) :
cannot allocate vector of length 1223600400
What does this means and what I am doing wrong?
Thank you in advance,
Monica
Monica Palaseanu-Lovejoy
University of Manchester
School of Geography
Mansfield Cooper Building
Oxford Road, Manchester
M13 9PL, UK.
email: [EMAIL PROTECTED]
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