boxly: R package to generate interactive box plots скачать в хорошем качестве

boxly: R package to generate interactive box plots

Abstract The analysis of clinical trial data involves the examination of numerous variables and their distributions across different groups of data. Traditional box plots have proven useful in visualizing the summary statistics, but they often fall short in providing a comprehensive understanding of complex data. boxly is an open-sourced R package that was developed at our company to generate interactive box plots to overcome the limitations in the traditional box plots. By incorporating interactive features for parameter selection and to get additional details about datapoints on-demand, researchers can dynamically explore the subsets and identify the relationships that may not be apparent in traditional box plots. This presentation demonstrates the potential use of boxly in facilitating data exploration and supporting informed decision-making in the clinical studies. Presenter Biography Benjamin Wang is a statistical programmer at MSD where he is part of A&R Standards, Innovation group. He has more than 4 years of experience supporting A&R standards projects using R. He has worked on developing R packages/Shiny Apps for generation of ADaM datasets, Tables, Listings and Figures (TLFs) and submission. He is currently involving in supporting various projects within the R programming initiative and is maintainer or key contributor for several open-sourced R packages.