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Fix annotation_custom() error with ggplot2 4.0.0+ in pathway error bar plots#187

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Fix annotation_custom() error with ggplot2 4.0.0+ in pathway error bar plots#187
Copilot wants to merge 5 commits into
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copilot/fix-annotation-custom-error

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Copilot AI commented Oct 16, 2025

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Problem

Users encountered a critical error when generating pathway error bar plots with ggplot2 4.0.0+ and R 4.4.0+:

Error in `ggplot2::annotation_custom()`:
! Problem while converting geom to grob.Error occurred in the 4th layer.
Caused by error in `UseMethod()`:
! no applicable method for 'rescale' applied to an object of class "c('simpleUnit', 'unit', 'unit_v2')"

This error occurred specifically when:

  • Using ko_to_kegg = TRUE to convert KO to KEGG pathways
  • Setting order = "pathway_class" to group by pathway class
  • Setting p_values_bar = TRUE for log2 fold change visualization

The error prevented plots from rendering, making the package unusable for users with these settings on recent R/ggplot2 versions.

Root Cause

The pathway_errorbar() function used annotation_custom(grid::rectGrob(...)) to add colored background rectangles for pathway class annotations. ggplot2 4.0.0 introduced changes to the grob rendering pipeline that exposed compatibility issues:

  1. Custom grobs created with grid::rectGrob() contain internal unit-based positioning
  2. When combined with coord_cartesian(clip = "off") and patchwork composition, coordinate transformations attempted to rescale these unit objects
  3. The scales::rescale() function has no method for unit objects, causing the error

Solution

Replaced annotation_custom(grid::rectGrob(...)) with ggplot2::annotate("rect", ...):

Before:

ggplot2::annotation_custom(
  grob = grid::rectGrob(
    gp = grid::gpar(col = pCol[i], fill = pFill[i], alpha = 0.2)
  ),
  xmin = -2, xmax = 0, ymin = ymin[i], ymax = ymax[i]
)

After:

ggplot2::annotate(
  "rect",
  xmin = -2, xmax = 0, ymin = ymin[i], ymax = ymax[i],
  color = pCol[i], fill = pFill[i], alpha = 0.2, linewidth = 0
)

This approach:

  • Uses ggplot2's native rectangle geometry instead of custom grobs
  • Handles coordinate transformations through ggplot2's internal system
  • Fully compatible with all coordinate systems and patchwork composition
  • Eliminates unit object issues in the rendering pipeline

Additional Improvements

Added defensive as.numeric() conversions to ensure all coordinate values are plain numeric without attributes:

Freq = as.numeric(pathway_class_group_mat[...])
start <- ... %>% cumsum() %>% as.numeric()
end <- cumsum(...) %>% as.numeric()
ymin <- as.numeric(start - 1 / 2)
ymax <- as.numeric(end + 1 / 2)

Testing

Added comprehensive regression test that:

  • Verifies ko_to_kegg = TRUE with pathway class annotations works correctly
  • Tests both p_value_bar = TRUE (4-panel) and FALSE (3-panel) layouts
  • Ensures plots render without unit rescaling errors
  • Validates coordinate calculations produce numeric values

Impact

No breaking changes - API remains identical
No visual changes - Output looks exactly the same
Backward compatible - Works with ggplot2 3.x and 4.0.0+
Better maintainability - Cleaner code using native ggplot2 features
Future-proof - Less likely to break with future ggplot2 updates

Users can now successfully use ggpicrust2 with ggplot2 4.0.0+ and R 4.4.0+ without encountering the unit rescaling error.

Fixes #184

Original prompt

This section details on the original issue you should resolve

<issue_title>[BUG] Bug Report: annotation_custom() Error in patchwork plot (plot[[2]]) – GGPICRUSt2</issue_title>
<issue_description>Code used
results_file_input <- ggpicrust2(file = abundance_file,

  •                              metadata = metadata,
    
  •                              group = "Site",
    
  •                              pathway = "KO",
    
  •                              daa_method = "ALDEx2",
    
  •                              ko_to_kegg = TRUE,
    
  •                              order = "pathway_class",
    
  •                              p_values_bar = TRUE,
    
  •                              x_lab = "pathway_name")
    

Issue

When rendering the plot object returned by GGPICRUSt2, a patchwork layout of 4 subplots, plot[[2]] fails with an error related to annotation_custom() and unit conversion. Specifically, the error occurs in the 4th layer due to an invalid call to rescale() on an object of class "simpleUnit" / "unit_v2". This bug is triggered in ggplot2 v4.0.0, likely due to changes in how units are handled. Other subplots render correctly (plot[[1]], [[3]], [[4]]).

Error Output
results <- results_file_input[[1]]$results

Access the plot and results dataframe for the first DA method

plot <- results_file_input[[1]]$plot
print(plot)
Error in ggplot2::annotation_custom():
! Problem while converting geom to grob.
ℹ Error occurred in the 4th layer.
Caused by error in UseMethod():
! no applicable method for 'rescale' applied to an object of class "c('simpleUnit', 'unit', 'unit_v2')"
Run rlang::last_trace() to see where the error occurred.

🖥️ Environment Information

  • Operating System: [Windows 10]
  • R Version: [R version 4.4.0 (2024-04-24 ucrt)"]
  • ggpicrust2 Version: [‘2.5.2’]
  • Installation method: [GitHub]</issue_description>

Comments on the Issue (you are @copilot in this section)

Fixes #186


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Copilot AI and others added 4 commits October 16, 2025 17:22
…meric

Co-authored-by: cafferychen777 <82987086+cafferychen777@users.noreply.github.com>
…patibility

Co-authored-by: cafferychen777 <82987086+cafferychen777@users.noreply.github.com>
Co-authored-by: cafferychen777 <82987086+cafferychen777@users.noreply.github.com>
Co-authored-by: cafferychen777 <82987086+cafferychen777@users.noreply.github.com>
Copilot AI changed the title [WIP] Fix annotation_custom error in patchwork plot for GGPICRUSt2 Fix annotation_custom() error with ggplot2 4.0.0+ in pathway error bar plots Oct 16, 2025
Copilot AI requested a review from cafferychen777 October 16, 2025 17:32
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[BUG] Bug Report: annotation_custom() Error in patchwork plot (plot[[2]]) – GGPICRUSt2 Error in ggplot2::annotation_custom():

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