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Draft:Sparge plot

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A sparge plot is a diagram depicting the unfettered positions of raw numerical data for several comparable univariate distributions in the context of non-parametric summary statistic scaffolding (e.g. quartiles) that indicate the quantitative dispersion and skew of the underlying points. This is technically accomplished using a combination of a) vertical stacking of the distributions of b) orthogonally jittered and c) translucent [overlapping] points while also d) subtly superimposing boxplots around the central assemblage of these points.[1][2]

[HELP! I AM UNABLE TO UPLOAD AN IMAGE FOR THIS PLOT EXAMPLE] a colorful sparge plot with 10 variables as rows of 4 overlapping distributions smeared across the plot as horizontal streaks. Each color corresponds to a different outcome variable.
a four fold sparge Plot of 10 covariates and their distributions (here compared as t-values)

Sparge plots are similar to sina plots or raincloud plots in that they are empowered by the datapoints themselves. However, in contrast to sina and raincloud plots, which typically emphasize a simplification of data distribution using kernel density, sparge plots use a boxplot overlay to quantitatively demarcate such dispersion.

An easy way to create a sparge plot is by using the 'plot.sparge' function in the 'caroline' R-package:

  • The caroline library of the R programming language.[3]

See also

References

  1. ^ Schruth, David (2024-01-05). "The origins of musicicality in the motion of primates". American Journal of Biological Anthropology.
  2. ^ Schruth, David; et al. (2023-11-09). "Plot Sparge: Visually compare all points from different univariate distributions". Comprehensive R Archive Network.
  3. ^ "Caroline: A Collection of Database, Data Structure, Visualization, and Utility Functions for R". 9 November 2023.