AssociationExplorer2 - A User-Friendly 'shiny' Application for Exploring Associations and Visual Patterns
A user-friendly 'shiny' application to explore statistical associations and visual patterns in multivariate datasets. The app provides interactive correlation networks, bivariate plots, and summary tables for different types of variables (numeric and categorical). It also supports optional survey weights and range-based filters on association strengths, making it suitable for the exploration of survey and public data by non-technical users, journalists, educators, and researchers. For background and methodological details, see Soetewey et al. (2025) <doi:10.1016/j.softx.2025.102483>.
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correlation-networkexploratory-data-analysisshiny-r
5.20 score 4 stars 9 scripts 551 downloadsyll - Compute Expected Years of Life Lost (YLL) and Average YLL
Compute the standard expected years of life lost (YLL), as developed by the Global Burden of Disease Study (Murray, C.J., Lopez, A.D. and World Health Organization, 1996). The YLL is based on comparing the age of death to an external standard life expectancy curve. It also computes the average YLL, which highlights premature causes of death and brings attention to preventable deaths (Aragon et al., 2008).
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biostatisticslife-expectancyyll
3.18 score 3 stars 5 scripts 147 downloads