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Thursday, July 6 • 6:10pm - 6:15pm
Object-oriented markdown in R to facilitate collaboration

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Abstract: A frequently expressed barrier to the transition from SAS to R at our institution is the challenge in generating “quick and dirty” output that combines text and graphical summaries of data for offline viewing or sharing with investigators. Depending on a person’s prior training and programming style, a full markdown approach to produce this integrated summary often requires significant reprogramming, particularly when the project involves multiple programmers or complex data manipulation. The philosophy behind an approach entitled “object-oriented markdown” will be presented and illustrated using a series of research projects utilizing the RJafroc package. The presentation will illustrate how data management and analysis standards can provide a framework that enables collaboration amongst statisticians on the project and ease of integration of final statistical results into a markdown document. By utilizing a markdown file only as a means to print stored R objects, one is able to rapidly summarize and interpret statistical output while maintaining efficient programming styles.
Keywords: Reproducible research, statistical output, data analysis pipeline


Thursday July 6, 2017 6:10pm - 6:15pm CEST
2.02 Wild Gallery