search for: geia_to_netcdf

...sfully ncvar_put(...) data to a file, but when I try to ncvar_get(...) the same data, I get > Error in if (nc$var[[li]]$hasAddOffset) addOffset = nc$var[[li]]$addOffset else addOffset = 0 : > argument is of length zero How to fix or debug? details: R code @ https://github.com/TomRoche/GEIA_to_NetCDF successfully (if crudely) uses R packages={ncdf4, maps, fields} to + extract data from a GEIA-distributed datafile https://github.com/downloads/TomRoche/GEIA_to_netCDF/N2OOC90Y.1A + display the data (mostly successfully--the map's legend has problems which I'll attack later) https://...

Wanting a commandline solution (for a problem detailed @ http://mailman.unidata.ucar.edu/mailing_lists/archives/netcdfgroup/2012/msg00279.html ) I turned to Rscript, and whacked out the q'n'd https://github.com/TomRoche/GEIA_to_netCDF/blob/master/netCDF.stats.to.stdout.r However it wasn't as quick as hoped, because I spent quite a bit of time figuring out how to pass the arguments. This works (note the quoting): $ Rscript ./netCDF.stats.to.stdout.r 'netcdf.fp="./GEIA_N2O_oceanic.nc"' 'var.name="e...

summary: spatial data to be input to a regional-scale environmental model must (1) be converted to netCDF and then (2) "regridded" (cropped, projected, increased resolution). In a public git repository https://github.com/TomRoche/GEIA_to_NetCDF I have R code (with bash drivers) that does the conversion step, and plots the converted output, apparently correctly. However attempts to plot the output of the regridding step (twice with raster::plot, once with fields::image.plot) are very wrong. How to fix? details: I need to take some data...

...gt; source('./foo.r) > foo(bar='baz') ? I'm looking for the 'R equivalent' of how python supports this usecase. details: As discussed in the thread beginning https://stat.ethz.ch/pipermail/r-help/2012-September/323255.html I have a script https://github.com/TomRoche/GEIA_to_netCDF/blob/master/netCDF.stats.to.stdout.r that takes named arguments without undue pain. I would also like to be able to call it as a function from other scripts. How to do that in R? In case that's not specific enough :-) I know how to structure files/ modules in python like http://python.net/~go...