eAppendix 1 : Lasagna plots : A saucy alternative to spaghetti plots
eAppendix 1 : Lasagna plots : A saucy alternative to spaghetti plots
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发表时间：
2010
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通讯作者：
B. Swihart;B. Caffo;B. James;Matt Strand;B. Schwartz;N. Punjabi
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作者：
B. Swihart;B. Caffo;B. James;Matt Strand;B. Schwartz;N. Punjabi
纵向重复测量数据通常用意大利面曲线图可视化，以获得连续的结果。对于大型数据集，使用意大利面条曲线图通常会导致数据中的趋势被过度绘制和模糊。这种对趋势的模糊主要是由于轨迹的重叠。在这里，我们建议一个称为千层面绘制的框架，它限制特定于对象的轨迹以防止重叠，并利用颜色梯度来描述结果。动态排序和可视化是一种探索性的数据分析工具。以下文件是对《千层面情节：意大利面条情节的另一种美味选择》的在线补充。排序如下：其他示例、代码片段和eFigures。
Longitudinal repeated-measures data have often been visualized with spaghetti plots for continuous outcomes. For large datasets, the use of spaghetti plots often leads to the over-plotting and consequential obscuring of trends in the data. This obscuring of trends is primarily due to overlapping of trajectories. Here, we suggest a framework called lasagna plotting 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. The following document serves as an online supplement to “Lasagna plots: A saucy alternative to spaghetti plots.” The ordering is as follows: Additional Examples, Code Snippets, and eFigures.