Draft:Sparge plot

Submission declined on 19 January 2024 by KylieTastic (talk).

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This draft has not been edited in over six months and qualifies to be deleted per CSD G13.

Declined by KylieTastic 16 months ago. Last edited by Dranthropoid 11 months ago. Reviewer: Inform author.

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A sparge plot is a diagram depicting the spread of numerical data of one (or more) univariate distribution(s) using a combination of jittered and translucent points and superimposing subtle (e.g. white) boxplot(s) over the darker central collection of datapoints.^[1]^[2]

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 in displaying the points themselves, but sina plots depict kernel density and sparge plots use a boxplot overlay to quantitatively demarcate partitions of distributional spread.

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]

References

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

[1] Schruth, David (2023-11-09). "The origins of musicicality in the motion of primates". American Journal of Biological Anthropology.

[2] Schruth, David; et al. (2024-05-01). "Plot Sparge: Visually compare all points from different univariate distributions". Comprehensive R Archive Network. {{cite journal}}: Explicit use of et al. in: |first= (help)

[3] "Caroline: A Collection of Database, Data Structure, Visualization, and Utility Functions for R". 9 November 2023.

[1]

[2]

[3]

See also

References