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- LASAGNA PLOTS: A SAUCY ALTERNATIVE TO SPAGHETTI PLOTS
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- Bruce Swihart, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
- Brian Caffo, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
- Bryan D. James, Johns Hopkins Bloomberg School of Public Health, Department of Epidemiology
- Matthew Strand, Department of Biostatistics, University of Colorado at Denver and Health Sciences Center
- Brian S. Schwartz, Johns Hopkins Bloomberg School of Public Health, Division of Occupational and Environmental Health
- Naresh M. Punjabi, Department of Medicine, Johns Hopkins University
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SUPPLEMENTAL.MATERIALS.unblinded.R (8 kB)
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- Abstract:
- Longitudinal repeated measures data has often been visualized with spaghetti plots for continuous out-
comes. For large datasets, this often leads to over-plotting and consequential obscuring of trends in the data. This is primarily due to overlapping of trajectories. Here, we suggest a framework called lasagna plot
ting that constrains the subject-specific trajectories to prevent overlapping and utilizes gradients of color to depict the outcome. Dynamic sorting and visualization is demonstrated as an exploratory data analysis tool. Supplemental material in the form of sample R code additional illustrated examples are available online.
- Subject Area:
- Longitudinal Data Analysis and Time Series
- Suggested Citation:
- Bruce Swihart, Brian Caffo, Bryan D. James, Matthew Strand, Brian S. Schwartz, and Naresh M. Punjabi,
"LASAGNA PLOTS: A SAUCY ALTERNATIVE TO SPAGHETTI PLOTS"
(October 2009).
Johns Hopkins University, Dept. of Biostatistics Working Papers.
Working Paper 141.
http://www.bepress.com/jhubiostat/paper141