On 14.07.2011 23:03, Anil acharya wrote:
Hi I am posting in the topic related to the "non-numeric argument to binary operator" as I got similar problem while running the netcdf code. I have attached the file with this post. It is a climate data from NOAA site. The code follows as: library(survival) library(RNetCDF) library(ncdf) setwd("c:/projects/netcdfcsfiles") Conn42 = open.ncdf("128.111.220.111.46.15.32.42.nc");
We do not have that file.
# read the time variable, which measures years, and # use the length of the vector to estimate the time span # timeObj = get.var.ncdf(Conn42,"time"); file42YrRangeDays = trunc(length(timeObj)) # Process each file separately: # get attributes, read the rhum data cube, # extract the time series from the cube, # and rescale the time series vector # scaleFact = att.get.ncdf(Conn42,"rhum","scale_factor") offset = att.get.ncdf(Conn42,"rhum","add_offset") rhumObj = get.var.ncdf(Conn42,"rhum"); # # the Relative Humidity data 'cube' has 4 dimensions: # latitudes (4), longitudes (3), pressure levels (1), # and time (days - several thousand) # rhCube = array(rhumObj,dim = c(4,3,file42YrRangeDays)) rh42Vec = (((rhCube[2,2,1:file42YrRangeDays]) * scaleFact) + offset) #(Here is the point where I got the error "Error in (rhCube[2, 2, 1:file24YrRangeDays]) * scaleFact : non-numeric argument to binary operator"
Since we do not have the data, we cannot know, but you really should inspect
str(rhCube[2,2,1:file42YrRangeDays]) str(scaleFact) if one or more of these are actually non-numeric. Uwe Ligges
I appreciate if anyone can help me out. Sincerely, Anil Acharya ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.