Goodmorning everyone!
Just a quick question:
I want to apply eof analysis and downscaling using the
clim.pact package.
What form should my data have? Only netCDF?
Right now my data are of the form of ascii files for
each month with 3 columns corresponding to latitude,
longitude and value of my
check out 'cbind' to select columns.
regards
Isidora
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Hi everyone!
I have 100 tables of the form:
XCOORD,YCOORD,OBSERVATION
27.47500,42.52641,177
27.48788,42.52641,177
27.50075,42.52641,179
27.51362,42.52641,178
27.52650,42.52641,180
27.53937,42.52641,178
27.55225,42.52641,181
27.56512,42.52641,177
27.57800,42.52641,181
27.59087,42.52641,181
Some of the coordinates might not match and also I do
not have the same number of observations in every
table but I want to get only the common ones back.
This is where it gets tricky!I have tried merge, scan
and every joining function I could find but nothing
seems to do what I want.
the
Hello!
I would like to do Empirical Orthogonal functions and
Canonical correlation analysis on satellite data. My
matrices are going to be very big (more than 10,000
locations). Are there limitations in R regarding the
size of the matrix?
thanks a lot
regards
Isidora
I have got windows and 1Gb ram. my matrices are
monthly data for 10 years for sometimes more than
10,000 locations. I am going to perform the EOF on one
variable at a time and then the CCA on the principal
components that I will get from EOF. Do you think I
could do that in R?I could also find a
