Publication details

Three levels of R language involvement in global monitoring plan warehouse architecture

Authors

KALINA Jiří HŮLEK Richard BORŮVKOVÁ Jana JARKOVSKÝ Jiří KLÁNOVÁ Jana DUŠEK Ladislav

Year of publication 2015
Type Article in Proceedings
Conference IFIP Advances in Information and Communication Technology
MU Faculty or unit

Faculty of Medicine

Citation
Web http://www.mineralogickaspolocnost.sk/data/Proceedings%20CEMC%202014%20print.pdf
Field Informatics
Keywords GMP; JSON; JSONIO; Jsonlite; ODBC; POPs; R; Statistical computing; System architecture; Web application
Description Three different options for involving R statistical software in the infrastructure of the data warehouse and visualization tool of the Global Monitoring Plan for persistent organic pollutants are presented, all differing in their demands with respect to data transfer rates, numbers of concurrently connected users, total amounts of data transferred, and the possibilities of repeating statistical calculations within a short period. After the development stage, two of these options were used at different levels of the system, demonstrating the specificity of their use and enabling the deployment of the powerful features of R statistical software by a system created using conventional programming languages.

You are running an old browser version. We recommend updating your browser to its latest version.

More info