A.3_large_simulation.tar Article Swipe

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YOU? · · 2018 · Open Access · · DOI: https://doi.org/10.7910/dvn/c0dbae/ck5b0d

Large Simulation To produce the figure, run the script: ~\archive_psnot\A.2_large_simulation\make_the_figure_11jan2018.R The original scripts run in this order: 1) \original_files\makeParadoxData_21oct2014.R creates the simulated data sets saved in \original_files\data_21oct2014 2) Move the files to Harvard's RCE, where I have access to a cluster 3) In the RCE's "condor" cluster, run this file as a batch \original_files\paradoxCondor_21oct2014.R to run the propensity score simulations. 4) In the RCE's "condor" cluster, run this file as a batch \original_files\paradoxCondorMah_21oct2014.R to run the mahalanobis distance matching simulations. 5) In the RCE's "condor" cluster, run a set of files as a batch: \original_files\paradoxCondorCEM_21oct2014_1.R \original_files\paradoxCondorCEM_21oct2014_2.R \original_files\paradoxCondorCEM_21oct2014_3.R \original_files\paradoxCondorCEM_21oct2014_4.R \original_files\paradoxCondorCEM_21oct2014_5.R This runs the CEM simulations. These are broken up because they take even longer. 6) Copy the results directory and subdirectories back to my local computer 7) Gather the results from the saved objects and make the figure.

Related Topics

Computer Science

Environmental Science

Programming Language

Concepts

tar (computing) Computer science Environmental science Programming language

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DOI: https://doi.org/10.7910/dvn/c0dbae/ck5b0d

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Title: A.3_large_simulation.tar

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Type: dataset

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Language: en

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Publication year: 2018

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Publication date: 2018-01-01

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Authors: Gary King, Richard A. Nielsen

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Landing page: https://doi.org/10.7910/dvn/c0dbae/ck5b0d

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Open access: Yes

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OA status: green

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OA URL: https://doi.org/10.7910/dvn/c0dbae/ck5b0d

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Concepts: tar (computing), Computer science, Environmental science, Programming language

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