Difference between revisions of "Using R to analyze GEOS-Chem data"
From Geos-chem
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I have also written many R functions suitable for analyzing 2D and 3D GEOS-Chem, EPA and meteorological data in these source files: | I have also written many R functions suitable for analyzing 2D and 3D GEOS-Chem, EPA and meteorological data in these source files: | ||
− | + | get_EPA.R[https://dl.dropbox.com/u/2485687/get_EPA.R get_EPA.R] | |
− | get_geo.R | + | get_geo.R[https://dl.dropbox.com/u/2485687/get_geo.R get_geo.R] |
get_met.R | get_met.R | ||
get_stat.R | get_stat.R |
Revision as of 22:05, 8 January 2013
On this page we include a tutorial about how to use the R programming language to analyze GEOS-Chem data.
Amos Tai <pkamostai@gmail.com> wrote (Sep 2012):
I have prepared a tutorial for using R to analyze GEOS-Chem and atmospheric data in the file:
R_Intro_for_Atmos_Sci.R
with test data:
PM25_met_Ohio_201007.txt PM25_T_daily_US_201007.RData
I have also written many R functions suitable for analyzing 2D and 3D GEOS-Chem, EPA and meteorological data in these source files:
get_EPA.Rget_EPA.R get_geo.Rget_geo.R get_met.R get_stat.R
The files include detailed instructions for each function. They can be used by sourcing in the R environment:
> source('get_geo.R')
I have also included an introductory guide to R for MATLAB users:
R_for_MATLAB_Users.pdf
All the files above are included in a single zip file which can be downloaded here: https://dl.dropbox.com/u/2485687/R_Intro_for_Atmos_Sci.zip