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I've run into the following error on the 33rd step/iteration/location(?) of the code, as follows:
"
Error in seq.default(a_min, a_max, length=10):
'from' must be a finite number
In addition: Warning messages:
1: In max(a) : no non-missing arguments to max; returning -Inf
2: In SpaceX(X,L[,c(1:2)],L[,3],sPMM = FALSE, Post_process = TRUE,:
NaNs produced
3: In min(a): no non-missing arguments to min; returning Inf
"
I've checked, and the matrix X doesn't have any missing elements , neither does L.
Is this something you could comment on?
Thanks,
Maria
The text was updated successfully, but these errors were encountered:
I think one of the cluster sizes is becoming very small (less than 3 to be specific) with the subset version of the whole dataset. It needs at least 3 spatial locations for each of clusters to estimate the length scale parameter of the spatial kernel. Please feel free to reach out if you run into any other issue.
Dear SpaceX developers,
I've run into the following error on the 33rd step/iteration/location(?) of the code, as follows:
"
Error in seq.default(a_min, a_max, length=10):
'from' must be a finite number
In addition: Warning messages:
1: In max(a) : no non-missing arguments to max; returning -Inf
2: In SpaceX(X,L[,c(1:2)],L[,3],sPMM = FALSE, Post_process = TRUE,:
NaNs produced
3: In min(a): no non-missing arguments to min; returning Inf
"
I've checked, and the matrix X doesn't have any missing elements , neither does L.
Is this something you could comment on?
Thanks,
Maria
The text was updated successfully, but these errors were encountered: