Package index

ScatterPlot Module

dittoViz-based interactive scatter plot module.

dittoViz_scatterPlotApp(): Create an example Modular scatterPlot Shiny Application
dittoViz_scatterPlotInputsUI(): Input UI components for the scatterPlot module
dittoViz_scatterPlotOutputUI(): Output UI components for the scatterPlot module
dittoViz_scatterPlotServer(): Server logic for scatterPlot module

yPlot Module

dittoViz-based Y-axis plot module (box, violin, ridgeplot, etc.).

dittoViz_yPlotApp(): Create an example Modular yPlot Shiny Application
dittoViz_yPlotInputsUI(): Input UI components for the yPlot module
dittoViz_yPlotOutputUI(): Output UI components for the yPlot module
dittoViz_yPlotServer(): Server logic for yPlot module

freqPlot Module

dittoViz-based composition/frequency plot module (per-sample frequencies by group).

dittoViz_freqPlotApp(): Create an example Modular freqPlot Shiny Application
dittoViz_freqPlotInputsUI(): Input UI components for the freqPlot module
dittoViz_freqPlotOutputUI(): Output UI components for the freqPlot module
dittoViz_freqPlotServer(): Server logic for freqPlot module

linePlot Module

Interactive line plot module.

linePlot(): Create an Interactive Line Plot with plotly
linePlotApp(): Create an example Modular linePlot Shiny Application
linePlotInputsUI(): Input UI components for the linePlot module
linePlotOutputUI(): Output UI components for the linePlot module
linePlotServer(): Server logic for linePlot module

dumbbellPlot Module

Interactive dumbbell plot module.

dumbbellPlot(): Create an Interactive Dumbbell Plot with plotly
dumbbellPlotApp(): Create a Shiny App for Dumbbell Plots
dumbbellPlotInputsUI(): Input UI components for the dumbbellPlot module
dumbbellPlotOutputUI(): Output UI components for the dumbbellPlot module
dumbbellPlotServer(): Server logic for dumbbellPlot module

piePlot Module

Interactive pie/donut chart module.

piePlot(): Create a plotly pie chart
piePlotApp(): Create an example Modular piePlot Shiny Application
piePlotInputsUI(): Input UI components for the piePlot module
piePlotOutputUI(): Output UI components for the piePlot module
piePlotServer(): Server logic for piePlot module

radarPlot Module

Interactive radar/spider chart module.

radarPlot(): Create a plotly radar chart
radarPlotApp(): Create an example Modular radarPlot Shiny Application
radarPlotInputsUI(): Input UI components for the radarPlot module
radarPlotOutputUI(): Output UI components for the radarPlot module
radarPlotServer(): Server logic for radarPlot module

parallelCoordinatesPlot Module

Interactive parallel coordinates plot module.

parallelCoordinatesPlot(): Create an Interactive Parallel Coordinates Plot with plotly
parallelCoordinatesPlotApp(): Create an example Modular parallelCoordinatesPlot Shiny Application
parallelCoordinatesPlotInputsUI(): Input UI components for the parallelCoordinatesPlot module
parallelCoordinatesPlotOutputUI(): Output UI components for the parallelCoordinatesPlot module
parallelCoordinatesPlotServer(): Server logic for parallelCoordinatesPlot module

AreaPlot Module

plotthis-based interactive area plot module.

plotthis_AreaPlotApp(): Create an example Modular AreaPlot Shiny Application
plotthis_AreaPlotInputsUI(): Input UI components for the AreaPlot module
plotthis_AreaPlotOutputUI(): Output UI components for the AreaPlot module
plotthis_AreaPlotServer(): Server logic for AreaPlot module

BarPlot Module

plotthis-based interactive bar plot module.

plotthis_BarPlotApp(): Create an example Modular BarPlot Shiny Application
plotthis_BarPlotInputsUI(): Input UI components for the BarPlot module
plotthis_BarPlotOutputUI(): Output UI components for the BarPlot module
plotthis_BarPlotServer(): Server logic for BarPlot module

SplitBarPlot Module

plotthis-based interactive split/stacked bar plot module.

plotthis_SplitBarPlotApp(): Create an example Modular SplitBarPlot Shiny Application
plotthis_SplitBarPlotInputsUI(): Input UI components for the SplitBarPlot module
plotthis_SplitBarPlotOutputUI(): Output UI components for the SplitBarPlot module
plotthis_SplitBarPlotServer(): Server logic for SplitBarPlot module

BoxPlot Module

plotthis-based interactive box plot module.

plotthis_BoxPlotApp(): Create an example Modular BoxPlot Shiny Application
plotthis_BoxPlotInputsUI(): Input UI components for the BoxPlot module
plotthis_BoxPlotOutputUI(): Output UI components for the BoxPlot module
plotthis_BoxPlotServer(): Server logic for BoxPlot module

DensityPlot Module

plotthis-based interactive density plot module.

plotthis_DensityPlotApp(): Create an example Modular DensityPlot Shiny Application
plotthis_DensityPlotInputsUI(): Input UI components for the DensityPlot module
plotthis_DensityPlotOutputUI(): Output UI components for the DensityPlot module
plotthis_DensityPlotServer(): Density Plot Server Module

DotPlot Module

plotthis-based interactive dot plot module.

plotthis_DotPlotApp(): Create an example Modular DotPlot Shiny Application
plotthis_DotPlotInputsUI(): Input UI components for the DotPlot module
plotthis_DotPlotOutputUI(): Output UI components for the DotPlot module
plotthis_DotPlotServer(): Server logic for DotPlot module

Histogram Module

plotthis-based interactive histogram module.

plotthis_HistogramApp(): Create an example Modular Histogram Shiny Application
plotthis_HistogramInputsUI(): Input UI components for the Histogram module
plotthis_HistogramOutputUI(): Output UI components for the histogramPlot module
plotthis_HistogramServer(): Histogram Plot Server Module

Heatmap Module

ComplexHeatmap-based interactive heatmap module.

ComplexHeatmap_HeatmapApp(): Create an example Modular ComplexHeatmap Shiny Application
ComplexHeatmap_HeatmapInputsUI(): Input UI components for the ComplexHeatmap module
ComplexHeatmap_HeatmapOutputUI(): Output UI components for the ComplexHeatmap module
ComplexHeatmap_HeatmapStaticOutputUI(): Static (non-interactive) heatmap output UI component for the ComplexHeatmap module
ComplexHeatmap_HeatmapServer(): Server logic for the ComplexHeatmap module
ComplexHeatmap_HeatmapMainOutputUI(): Main heatmap output UI component for the ComplexHeatmap module
ComplexHeatmap_HeatmapSubOutputUI(): Sub-heatmap output UI component for the ComplexHeatmap module
ComplexHeatmap_HeatmapInfoOutputUI(): Click/brush info output UI component for the ComplexHeatmap module

dataFilter Module

Reusable data filtering module for use with plot modules.

dataFilterServer(): Server logic for the dataFilter module
dataFilterUI(): UI component for the dataFilter module
resolve_column_targets(): Translate column names or positions into DT column targets

Module Gallery & Figure Builder

The gallery of every module on its example data, and the multi-panel figure builder module.

moduleGalleryApp(): Launch the VizModules module gallery
figureBuilderApp(): Create a VizModules Figure Builder Application
figureBuilderServer(): Server logic for the Figure Builder module
figureBuilderUI(): UI component for the Figure Builder module

Custom Inputs & Widgets

Reusable custom Shiny inputs for use in module UIs.

multiColorPicker(): Compact multi-group color picker input
multiDynamicInput(): Dynamic multi-row input for repeating groups of inputs
updateMultiColorPicker(): Update a multiColorPicker input on the client
updateMultiDynamicInput(): Update a multiDynamicInput input on the client
level_order_input(): Drag-and-drop control for the order of a categorical axis
level_order_choices(): The levels a categorical column is plotted in, optionally reordered
apply_level_order(): Reorder the levels of a categorical column
setup_level_order(): Keep a level-order control in step with its column

UI Helpers

Utility functions for building and organising module UIs, and the server-side stores that keep a module’s own controls from costing an extra render.

createModuleApp(): Create an Example Module App from Any Module Trio
discrete_choices(): Choices for a categorical colour, shape, group or fill selector
empty_plot(): Create an empty ggplot2 plot or plotly plot with input text
facet_check(): Identify columns valid for faceting or splitting
hide_input(): Hide the grid cells wrapping module inputs
main_title_input_ids: Input IDs that style the main plot title
module_tack_ui(): Create standard tack UI for module inputs
na_to_null(): Convert NA or empty string to NULL
organize_inputs(): Organize arbitrary Shiny inputs into a grid layout
require_data_frame(): Require a data frame from a module's data reactive
reset_manual_edits(): Discard every captured manual layout edit
setup_auto_update_logic(): Set up auto-update/isolate logic for reactive contexts
setup_axis_range(): Track the axis limits a plot should draw with
setup_reactive_defaults(): Resolve reactive defaults entries into a server-side parameter store
show_input(): Show the grid cells wrapping module inputs
toggle_facet_title_inputs(): Match the title inputs to whether a plot is faceted
toggle_input_cell(): Hide or show the grid cell wrapping a module input
use_vizmodules_skills(): Install the bundled VizModules agent skills into a project
viz_select_input(): Create a select input that scales to very large choice sets
update_viz_select(): Update a select input created by viz_select_input
webgl_input(): The "Plot with WebGL" toggle for a module's point layers

Uniform UI Inputs

Standardised input builders and reset functions shared across modules.

uniform_axes_inputs_ui(): Generate uniform Axes input UI
uniform_colorscale_inputs_ui(): Generate uniform Color Scale input UI
uniform_legend_inputs_ui(): Generate uniform Legend input UI
uniform_lines_inputs_ui(): Generate uniform Lines input UI
uniform_plotly_inputs_ui(): Generate uniform Plotly input UI
uniform_stats_inputs_ui(): Generate uniform Stats input UI
uniform_subplot_spacing_inputs_ui(): Generate uniform subplot spacing input UI
subplot_spacing_defaults(): Resolve the subplot spacing defaults
uniform_annotation_inputs_ui(): Generate uniform Annotation input UI
reset_annotation_inputs(): Reset uniform Annotation inputs to defaults
reset_axes_inputs(): Reset uniform axes inputs to defaults
reset_colorscale_inputs(): Reset uniform Color Scale inputs to defaults
reset_legend_inputs(): Reset uniform Legend inputs to defaults
reset_lines_inputs(): Reset uniform lines inputs to defaults
reset_plotly_inputs(): Reset uniform Plotly inputs to defaults
reset_stats_inputs(): Reset uniform stats inputs to defaults
get_default(): Resolve a default value from a named list

Functions for faceted/multi-panel subplot layout and styling.

apply_facet_subplot_spacing(): Apply custom subplot spacing to a faceted ggplotly figure
build_facet_annotations(): Build facet subplot annotations
build_facet_panel_borders(): Build paper-anchored panel border shapes for a faceted plotly figure
clean_facet_dim(): Clean and validate facet dimension value for lineplot module
resolve_facet_layout(): Resolve number of rows for a faceted subplot grid
resolve_facet_sharing(): Resolve facet axis sharing from facet.scales

Axes, Layout & Plotly Config

Functions for axis styling, layout, reference lines, and plotly configuration.

add_ablines(): Build diagonal (abline) line shapes for a plotly figure
add_hlines(): Build horizontal line shapes for a plotly figure
add_marginal_plots(): Add marginal distribution plots to a scatter plot
add_plot_config(): Create default Plotly configuration
add_reference_lines(): Add reference lines to a plotly figure from Shiny inputs
add_vlines(): Build vertical line shapes for a plotly figure
mark_overlay_axes(): Exempt a figure's overlay axes from the shared styling
adjusted_axis_label(): Build an adjustment-aware axis label
apply_axis_padding(): Set the padding between a figure's data and the edges of its plot area
apply_axis_title_to_annotations(): Apply axis title font styling to shared facet axis annotations
reset_axis_title_text(): Drop persisted axis-title text edits
apply_legend_styling(): Apply uniform legend styling to a plotly figure
apply_legend_inputs(): Apply the uniform Legend inputs to a plotly figure
add_size_legend(): Add a point-size legend to a plotly figure
apply_plotly_newshape(): Apply Plotly newshape styling from uniform Plotly inputs
apply_render_margins(): Apply standard render-time margin layout to a plotly figure
apply_subplot_axis_styling(): Apply axis styling to all subplot axes in a plotly figure
apply_tick_notation(): Set the notation of a figure's numeric tick labels
apply_title_layout(): Apply plot title styling to a plotly figure
apply_uniform_styling(): Apply the uniform styling inputs to a module's figure
auto_webgl(): Draw a figure's point layers with WebGL
axis_titles_as_annotations(): Convert native cartesian axis titles to draggable annotations
cached_structure(): Cache a module's plot step
create_axis_styles(): Create Plotly axis style list
create_ggplot_axis_style(): Create ggplot axis styling theme arguments
linetype_to_dash(): Convert linetype name to plotly dash style
recycle_line_style(): Recycle style vector to match line count
split_color_shape_legend(): Give a plot's colour and shape their own legend sections
string_to_linetypes(): Parse and validate linetype string to a vector
heatmap_fit_width(): Fit a hand-built InteractiveComplexHeatmap widget to its container's width

Point Highlighting & Labels

Helpers for highlighting and labelling individual points, for modules that adopt uniform_annotation_inputs_ui().

apply_highlight_styling(): Restyle highlighted points in a plotly figure
create_highlight_annotations(): Create annotations for highlighted points
create_selected_annotations(): Create annotations for selected points
merge_annotation_sets(): Merge two sets of plotly point annotations
parse_highlight_values(): Parse a highlight string into the values it names

Manual Plot Edits

Functions for applying user-drawn shapes and annotations to plotly figures.

finalize_manual_edits(): Render persistent manual plot layout edits across re-renders
setup_manual_edits(): Set up persistent manual plot layout edits across re-renders

Model Backends

Pluggable model fitting registry for custom model line overlays. Register new backends to support any modelling package (drc, mgcv, brms, etc.).

build_model_row_spec(): Build a dynamic row_spec from registered backends
get_model_backend(): Get a registered model backend
list_model_backends(): List registered model backends
register_model_backend(): Register a model backend

Statistical Utilities

Functions for computing and displaying pairwise statistical test annotations.

apply_stat_annotations(): Apply statistical annotation shapes and annotations to a plotly figure
compute_pairwise_stats(): Compute pairwise statistical tests between groups
default_stat_pairs(): Pick the comparisons a defaults list asks for from those on offer
create_stat_annotations(): Create plotly shapes and annotations for statistical test results
generate_pair_strings(): Generate comparison pair strings from data columns
note_brackets_skipped(): Tell the user why significance brackets are missing from the plot
parse_pair_strings(): Parse pair strings from UI into list of length-2 vectors
stat_bracket_headroom(): Bracket headroom for a module, read straight off its Stats tab
stat_bracket_y_max(): Y-axis top needed to draw statistical annotation brackets in full

Palette & Color Utilities

Functions for managing color palettes.

default_group_colors(): Extract a caller-supplied group color mapping from defaults
default_palettes(): Color palette options for palettePicker
flatten_palette_options(): Flatten nested palette options
reset_group_colors(): Restore a group color picker to its default mapping
resolve_colorscale(): Resolve a continuous colour scale for plotly
resolve_palette(): Resolve a color palette for plot groups
setup_group_colors(): Track the group-to-color mapping a plot should draw with

Export & Download Utilities

Functions for preparing plot and source data for download, and for rendering a plot that is not a plotly graph to a vector or raster image.

collect_source_data(): Collect plot and source data for download
create_source_download_handler(): Create download handler for plot with source data
draw_to_png(): Render a grid or base drawing to PNG bytes
draw_to_svg(): Render a grid or base drawing to a self-contained SVG fragment

Utility Functions

General-purpose helper functions for data handling and validation.

adjust_column_values(): Adjust numeric column values in a data frame using mathematical transformations
adjusted_values(): Transform values the way the modules plot them
adjustment_fn(): The whole plotted transform as one function, for dittoViz
as_plotted(): Replace data columns with the values the modules plot for them
blank_to_null(): Normalize a module's "no selection" column input to NULL
error_bar_halfwidth(): Half-width of a group's error bar
get_documentation(): Extract parameter documentation from an R function help page
is_pure_type(): Check if column inputs contain mixed data types
nz_value(): Is an input's value a usable, non-empty string?
parse_numeric_list(): Parse comma-separated numeric string to vector
safe_eval_filter(): Safely evaluate a user-provided filter expression against a data frame
safe_resolve_adj_fxn(): Safely resolve an adjustment function name to an actual function
validate_expression(): Validate a user-provided expression string for safety
with_stable_seed(): Evaluate a plot expression under a fixed random seed

Example Data

Built-in datasets for demos and testing.

example_bar: Bar dataset for bar and split bar plot examples
example_composition: Example single-cell-style composition data for the freqPlot module
example_demographics: Example demographics dataset
example_iris: Example grouped iris dataset
example_markers: Example single-cell marker gene dataset for dot plots
example_heatmap_matrix: Example gene-expression-style matrix for the ComplexHeatmap module
example_heatmap_column_data: Example sample-metadata table for the ComplexHeatmap module
example_mtcars: Example mtcars dataset with factors
example_population: Example population dataset
example_rnaseq: Example pseudo-bulk RNA-seq dataset
example_sales: Example sales dataset
example_school_earnings: Example school earnings dataset for dumbbell plots
example_skills: Example multi-player skills dataset for radar plots