Abstract
BackgroundCreating a user friendly web based application which executes an R script allows physicians, epidemiologists, and others unfamiliar with the statistical language to perform powerful statistical analyses easily. The geographic mapping of data is an important tool in spatial epidemiological analysis, and the R project includes many tools for such analyses, but few for visualization. Hence, web applications that run R for epidemiological analysis need to be able to present the results in a geographic format.ResultsRwui is a web application for creating web based applications for running R scripts. We describe updates to Rwui that enable it to create web applications for R scripts which return the results of the analysis to the web page as geographic maps.ConclusionsRwui enables statisticians to create web applications for R scripts without the need to learn web programming. Creating a web application provides users access to an R based analysis without the need to learn R. Recent updates to Rwui have increased its applicability in the field of spatial epidemiological analysis.
Highlights
Creating a user friendly web based application which executes an R script allows physicians, epidemiologists, and others unfamiliar with the statistical language to perform powerful statistical analyses
Spatial epidemiology combines the geographic mapping of disease distributions with pattern analysis, spatial statistics and disease modelling [1,2,3]
The application displays data on cholera outbreaks in India between the years 1997 and 2006. This data was taken from a paper by Kanungo et al [12]. In this simple demonstration application the data to be analysed is held on the server, but in more general use an epidemiological application created by Rwui could upload user data by means of a File upload or Zip-file upload box on the web page
Summary
Rwui enables statisticians to create web applications for their R scripts without the need to learn web programming. Web applications for R scripts provide users access to R based analyses without the need to learn R. Including Google static maps into the display options for web applications created by Rwui has increased its applicability in the field of spatial epidemiological analysis. Producing R functions to aid creating the file of parameter name/ value pairs required for a particular design of map. Author details 1MRC Biostatistics Unit, Robinson Way, Cambridge, CB2 0SR, UK. Authors’ contributions RN and LW designed and programmed Rwui. AD contributed the concept of the geographic mapping facility and to its design. Competing interests The authors declare that they have no competing interests
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