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Related Concept Videos

Interpreting R Charts01:22

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R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
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Updated: Oct 4, 2025

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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Plotgardener: cultivating precise multi-panel figures in R.

Nicole E Kramer1, Eric S Davis1, Craig D Wenger2

  • 1Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

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Summary
This summary is machine-generated.

Plotgardener is a new R package for creating publication-quality genomic visualizations. It offers precise control over plot arrangement, improving scientific figure generation for R users.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Data Visualization

Background:

  • R is widely used for genomic data analysis and visualization.
  • Existing R plotting packages struggle with publication-quality multi-panel figure generation.

Purpose of the Study:

  • Introduce plotgardener, a novel R package for genomic data visualization.
  • Provide precise, programmatic control over multi-plot figure generation.

Main Methods:

  • Developed a coordinate-based visualization package in R.
  • Integrated with the Bioconductor project and ggplot2.
  • Ensured fast, memory-efficient data handling.

Main Results:

  • Plotgardener enables exact placement and sizing of plots.
  • Facilitates the creation of publication-quality scientific figures.
  • Offers a new paradigm for multi-plot figure generation in R.

Conclusions:

  • Plotgardener is an invaluable tool for R users and data scientists.
  • Enhances the creation of complex, publication-ready figures from genomic data.