Special thanks to Vladislav Antipin for his help and guidance.

An interactive ggplot2 editor for the MIT lab — load any existing plot, tweak every layer, and export publication-ready figures without touching code.

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What you can do

• Load plots — open an existing ggplot .rds or an .xlsx workbook (each sheet becomes an available data source).
• Edit layers — add, remove, reorder, and rename layers. For each layer: change the geom type, adjust fixed aesthetics (colour, fill, size, shape, stroke, alpha, linetype), or map any of them to a data variable.
• Per-group colour & shape — when an aesthetic is mapped to a discrete variable, assign a specific colour or shape to each group individually.
• Theme — switch between built-in ggplot2 themes, tune font family/size, axis label angles, legend position, grid lines, and more.
• Faceting — wrap or grid-facet by any variable.
• Filter — pick any variable and drag its values into Show/Hide to include, exclude, and reorder rows across the whole plot (independent of faceting). Date columns get a start/end range picker instead.
• Axis mapping — reassign the global x/y/z variables used by all inherited layers in one click.
• Repel labels — add non-overlapping text or label annotations via ggrepel with configurable padding, force, and segment style.
• Coordinates & scales — flip axes, apply log/sqrt/reverse transformations, set manual axis limits.
• Undo / Redo — up to 50 steps of full plot-state history.
• Export — download as PNG, JPG, PDF, or animated GIF; set exact pixel dimensions before exporting.
• R code preview — see the ggplot2 code extracted from your current plot, ready to copy into a script.

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Supported geom families

Point, line, path, bar, histogram, boxplot, violin, density, area, tile/heatmap, segment, errorbar, ribbon, text, label, contour, hex, smooth, quantile, jitter, crossbar, pointrange, spoke, sf, and extensions: ggrepel , ggtern , ggsankey , ggmosaic , scatterpie , gganimate .

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Using your project outside the app

Click Save Project to download a .rds file that includes everything needed to reload the plot in ggTuneR, plus two ready-to-use ggplot objects: $built_plot , the plot with all your edits applied, and $original_plot , the plot exactly as it was when you loaded it — handy for before/after comparisons or going back to the untouched version.

library(ggplot2)

proj <- readRDS("project.rds")
proj$built_plot           # your edited plot, render anywhere
proj$original_plot        # the plot exactly as loaded, before edits

# Save directly to file:
ggsave("figure.png", proj$built_plot, width = 8, height = 6)

$original_plot is NULL for projects started from an .xlsx workbook (there was no original plot) and for projects saved with older versions of ggTuneR.