Simulated data and code for analysis of herpetofauna response to forest management in the Missouri Ozarks
| Autor: | Debby K. Fantz, Alexander J. Wolf, Matthew G. Olson, Rochelle B. Renken, Robert A. Montgomery, Robert A. Gitzen, Larry D. Vangilder, Joshua J. Millspaugh, Christopher T. Rota |
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| Rok vydání: | 2016 |
| Předmět: |
0106 biological sciences
Multidisciplinary Operations research Computer science Forest management Predictor variables lcsh:Computer applications to medicine. Medical informatics computer.software_genre 010603 evolutionary biology 01 natural sciences Synthetic data 010104 statistics & probability Simulated data Code (cryptography) lcsh:R858-859.7 Data mining 0101 mathematics lcsh:Science (General) computer Data Article lcsh:Q1-390 |
| Zdroj: | Data in Brief, Vol 9, Iss C, Pp 477-479 (2016) Data in Brief |
| ISSN: | 2352-3409 |
| Popis: | We present predictor variables and R and Stan code for simulating and analyzing counts of Missouri Ozark herpetofauna in response to three forest management strategies. Our code performs four primary purposes: import predictor variables from spreadsheets; simulate synthetic response variables based on imported predictor variables and user-supplied values for data-generating parameters; format synthetic data for export to Stan; and analyze synthetic data. |
| Databáze: | OpenAIRE |
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