Package: VizModules 0.3.0

VizModules: Flexible, Interactive 'shiny' Modules for Almost Any Plot

Offers a core selection of interactivity-first 'shiny' modules for many plot types meant to serve as flexible building blocks for applications and as the base for more complex modules. These modules allow for the rapid and convenient construction of 'shiny' apps with very few lines of code and decouple plotting from the underlying data. These modules allow for full plot aesthetic customization by the end user through UI inputs. Utility functions for simple UI organization, automated UI tooltips, and additional plot enhancements are also provided. Includes a multi-panel figure builder app for arranging multiple modules together in a free-form layout.

Authors:Jared Andrews [aut, cre], Jacob Martin [aut]

VizModules_0.3.0.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
VizModules/json (API)

# Install 'VizModules' in R:
install.packages('VizModules', repos = c('https://j-andrews7.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/j-andrews7/vizmodules/issues

Pkgdown/docs site:https://j-andrews7.github.io

Datasets:

On CRAN:

Conda:

data-visualizationmodulesshinyvisualization

7.64 score 3 stars 94 scripts 224 downloads 134 exports 117 dependencies

Last updated from:f892a0ac2f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK266
source / vignettesOK276
linux-releaseOK238
macos-releaseOK170
macos-oldrelOK148
windows-develOK236
windows-releaseOK177
windows-oldrelOK162
wasm-releaseOK157

Exports:add_ablinesadd_hlinesadd_plot_configadd_reference_linesadd_vlinesadjust_column_valuesadjusted_axis_labelapply_axis_title_to_annotationsapply_facet_subplot_spacingapply_legend_stylingapply_plotly_newshapeapply_render_marginsapply_stat_annotationsapply_subplot_axis_stylingapply_title_layoutaxis_titles_as_annotationsbuild_facet_annotationsbuild_facet_panel_bordersbuild_model_row_specclean_facet_dimcollect_source_datacompute_pairwise_statscreate_axis_stylescreate_ggplot_axis_stylecreate_source_download_handlercreate_stat_annotationscreateModuleAppdataFilterServerdataFilterUIdefault_palettesdittoViz_scatterPlotAppdittoViz_scatterPlotInputsUIdittoViz_scatterPlotOutputUIdittoViz_scatterPlotServerdittoViz_yPlotAppdittoViz_yPlotInputsUIdittoViz_yPlotOutputUIdittoViz_yPlotServerdumbbellPlotdumbbellPlotAppdumbbellPlotInputsUIdumbbellPlotOutputUIdumbbellPlotServerempty_plotfigureBuilderAppfigureBuilderServerfigureBuilderUIfinalize_manual_editsgenerate_pair_stringsget_defaultget_documentationget_model_backendis_pure_typelinePlotlinePlotApplinePlotInputsUIlinePlotOutputUIlinePlotServerlinetype_to_dashlist_model_backendsmodule_tack_uimultiColorPickermultiDynamicInputorganize_inputsparallelCoordinatesPlotparallelCoordinatesPlotAppparallelCoordinatesPlotInputsUIparallelCoordinatesPlotOutputUIparallelCoordinatesPlotServerparse_numeric_listparse_pair_stringspiePlotpiePlotApppiePlotInputsUIpiePlotOutputUIpiePlotServerplotthis_AreaPlotAppplotthis_AreaPlotInputsUIplotthis_AreaPlotOutputUIplotthis_AreaPlotServerplotthis_BarPlotAppplotthis_BarPlotInputsUIplotthis_BarPlotOutputUIplotthis_BarPlotServerplotthis_BoxPlotAppplotthis_BoxPlotInputsUIplotthis_BoxPlotOutputUIplotthis_BoxPlotServerplotthis_DensityPlotAppplotthis_DensityPlotInputsUIplotthis_DensityPlotOutputUIplotthis_DensityPlotServerplotthis_DotPlotAppplotthis_DotPlotInputsUIplotthis_DotPlotOutputUIplotthis_DotPlotServerplotthis_HistogramAppplotthis_HistogramInputsUIplotthis_HistogramOutputUIplotthis_HistogramServerplotthis_SplitBarPlotAppplotthis_SplitBarPlotInputsUIplotthis_SplitBarPlotOutputUIplotthis_SplitBarPlotServerplotthis_ViolinPlotAppplotthis_ViolinPlotInputsUIplotthis_ViolinPlotOutputUIplotthis_ViolinPlotServerradarPlotradarPlotAppradarPlotInputsUIradarPlotOutputUIradarPlotServerrecycle_line_styleregister_model_backendreset_axes_inputsreset_legend_inputsreset_lines_inputsreset_plotly_inputsresolve_facet_layoutresolve_facet_sharingresolve_palettesafe_eval_filtersafe_resolve_adj_fxnsetup_auto_update_logicsetup_manual_editsstring_to_linetypesuniform_axes_inputs_uiuniform_legend_inputs_uiuniform_lines_inputs_uiuniform_plotly_inputs_uiupdateMultiColorPickerupdateMultiDynamicInputvalidate_expression

Dependencies:askpassbase64encbrewbslibcachemcallrcellrangercirclizeclicolorspacecolourpickercommonmarkcowplotcpp11crayoncrosstalkcurldata.tabledescdigestdittoVizdplyrDTevaluatefarverfastmapfontawesomeforcatsfsgenericsggnewscaleggplot2ggrepelggridgesGlobalOptionsgluegridtextgtablehighrhmshtmltoolshtmlwidgetshttpuvhttrisobandjpegjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelitedownmagrittrmarkdownmemoisemimeminiUIopensslotelpatchworkpillarpkgbuildpkgconfigpkgloadplotlyplotthisplyrpngprettyunitsprocessxprogresspromisespspurrrR6rappdirsRColorBrewerRcppreadxlrematchreshape2rexrlangrmarkdownroclangroxygen2rprojrootS7sassscalesshapeshinyshinyBSshinyjquishinyjsshinyWidgetssourcetoolsstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxml2xtableyamlzipzoo

VizModules Custom Shiny Inputs
multiColorPicker | Overview | Basic Usage | Key Arguments | Reading the Value | Updating from the Server | Summary | multiDynamicInput | Defining Fields with row_spec | Pre-filled Rows with elements | Backend-Specific Fields
Rendered fromcustom-shiny-inputs.Rmdusingknitr::rmarkdown

Last update: 2026-07-24
Started: 2026-07-24

Adding a New Module
Quick Checklist | Naming & Organization | Documentation Standards | 1. @section Plot parameters not implemented or with altered functionality: | 2. @section Plot parameters and defaults: | 3. @section Plot parameters implementing new functionality: | Functionality & Non-Exposed Inputs | Example App Requirement | Testing Requirements | Implementing a New Plotting Function (e.g., piePlot) | Persisting Manual Layout Edits | Server | Key helpers (all in R/plot_helpers.R) | Integrating Statistical Testing (Stats Tab) | UI | Key helpers (all in R/stat_helper.R) | Gallery App | Review Before Submitting | Style Guide | Input Labels | Tooltips with tipify | Reuse Uniform Input Helpers | Imports: @importFrom Over :: | Additional Conventions | Sanitizing User-Provided Expressions | safe_eval_filter(expr_text, data) | validate_expression(expr_text, col_names) | safe_resolve_adj_fxn(fn_name) | What counts as "allowed"?
Rendered fromadding-a-new-module.Rmdusingknitr::rmarkdown

Last update: 2026-07-24
Started: 2026-01-16

Building Custom Modules
Introduction | The Pattern | A Minimal Example | The UI | The Server | Putting It Together | Hiding Base Module Inputs | Automatically Preserving Manual Title/Legend/Annotation Edits | Best Practices
Rendered fromcustom-modules.Rmdusingknitr::rmarkdown

Last update: 2026-07-24
Started: 2025-12-30

Custom Model Lines in Scatter Plots
How It Works | The Pipeline | Using Custom Models in the App | Setting Defaults | Adding a Custom Model Backend | Backend Spec | Example: drc (Dose-Response Curves) | Example: mgcv (GAMs) | Where to Register Backends | How Extra Fields Flow Through | API Reference | Security
Rendered fromcustom-model-lines.Rmdusingknitr::rmarkdown

Last update: 2026-07-24
Started: 2026-07-24

Defaults and Hiding Controls
defaults: pre-filling inputs | Finding valid keys | Validation | Passing defaults through createModuleApp() and *App() | hide.inputs: hiding individual controls | Use case: app-level fixed parameters | hide.tabs: hiding entire tab panels | Available tab names | Combining defaults, hide.inputs, and hide.tabs | Using hide.inputs in createModuleApp() and *App() | Hiding inputs dynamically in a custom module
Rendered fromdefaults-and-hiding.Rmdusingknitr::rmarkdown

Last update: 2026-07-24
Started: 2026-07-24

Quick Start with VizModules
See the modules | Drop a module into your app | Set defaults and hide controls | App factory with createModuleApp() | Export Summary Data | Which plot parameters are exposed?
Rendered fromquick-start.Rmdusingknitr::rmarkdown

Last update: 2026-07-24
Started: 2026-01-16

Statistical Testing
Using the Stats tab | Supported tests | Paired tests | Downloading statistics | Using the stat helpers in a custom module | Restricting comparisons | Faceted plots and nested grouping | compute_pairwise_stats() return value
Rendered fromstatistical-testing.Rmdusingknitr::rmarkdown

Last update: 2026-07-24
Started: 2026-07-24

Readme and manuals

Help Manual

Help pageTopics
Build diagonal (abline) line shapes for a plotly figureadd_ablines
Build horizontal line shapes for a plotly figureadd_hlines
Create default Plotly configurationadd_plot_config
Add reference lines to a plotly figure from Shiny inputsadd_reference_lines
Build vertical line shapes for a plotly figureadd_vlines
Adjust numeric column values in a data frame using mathematical transformationsadjust_column_values
Build an adjustment-aware axis labeladjusted_axis_label
Apply axis title font styling to shared facet axis annotationsapply_axis_title_to_annotations
Apply custom subplot spacing to a faceted ggplotly figureapply_facet_subplot_spacing
Apply uniform legend font styling to a plotly figureapply_legend_styling
Apply Plotly newshape styling from uniform Plotly inputsapply_plotly_newshape
Apply standard render-time margin layout to a plotly figureapply_render_margins
Apply statistical annotation shapes and annotations to a plotly figureapply_stat_annotations
Apply axis styling to all subplot axes in a plotly figureapply_subplot_axis_styling
Apply plot title styling to a plotly figureapply_title_layout
Convert native cartesian axis titles to draggable annotationsaxis_titles_as_annotations
Build facet subplot annotationsbuild_facet_annotations
Build paper-anchored panel border shapes for a faceted plotly figurebuild_facet_panel_borders
Build a dynamic row_spec from registered backendsbuild_model_row_spec
Clean and validate facet dimension value for lineplot moduleclean_facet_dim
Collect plot and source data for downloadcollect_source_data
Compute pairwise statistical tests between groupscompute_pairwise_stats
Create Plotly axis style listcreate_axis_styles
Create ggplot axis styling theme argumentscreate_ggplot_axis_style
Create download handler for plot with source datacreate_source_download_handler
Create plotly shapes and annotations for statistical test resultscreate_stat_annotations
Create an Example Module App from Any Module TriocreateModuleApp
Server logic for the dataFilter moduledataFilterServer
UI component for the dataFilter moduledataFilterUI
Color palette options for palettePickerdefault_palettes
Create an example Modular scatterPlot Shiny ApplicationdittoViz_scatterPlotApp
Input UI components for the scatterPlot moduledittoViz_scatterPlotInputsUI
Output UI components for the scatterPlot moduledittoViz_scatterPlotOutputUI
Server logic for scatterPlot moduledittoViz_scatterPlotServer
Create an example Modular yPlot Shiny ApplicationdittoViz_yPlotApp
Input UI components for the yPlot moduledittoViz_yPlotInputsUI
Output UI components for the yPlot moduledittoViz_yPlotOutputUI
Server logic for yPlot moduledittoViz_yPlotServer
Create an Interactive Dumbbell Plot with plotlydumbbellPlot
Create a Shiny App for Dumbbell PlotsdumbbellPlotApp
Input UI components for the dumbbellPlot moduledumbbellPlotInputsUI
Output UI components for the dumbbellPlot moduledumbbellPlotOutputUI
Server logic for dumbbellPlot moduledumbbellPlotServer
Create an empty ggplot2 plot or plotly plot with input textempty_plot
Bar dataset for bar and split bar plot examplesexample_bar
Example demographics datasetexample_demographics
Example grouped iris datasetexample_iris
Example single-cell marker gene dataset for dot plotsexample_markers
Example mtcars dataset with factorsexample_mtcars
Example population dataset A simulated population dataset with 400 rows covering 50 years and 8 age groups. Designed for line, area, and stacked bar plot examples.example_population
Example RNA-seq dataset for the RNA-seq showcase appexample_rnaseq
Example sales datasetexample_sales
Example school earnings dataset for dumbbell plotsexample_school_earnings
Example multi-player skills dataset for radar plotsexample_skills
Create a VizModules Figure Builder ApplicationfigureBuilderApp
Server logic for the Figure Builder modulefigureBuilderServer
UI component for the Figure Builder modulefigureBuilderUI
Render persistent manual plot layout edits across re-rendersfinalize_manual_edits
Generate comparison pair strings from data columnsgenerate_pair_strings
Resolve a default value from a named listget_default
Extract parameter documentation from an R function help pageget_documentation
Get a registered model backendget_model_backend
Check if column inputs contain mixed data typesis_pure_type
Create an Interactive Line Plot with plotlylinePlot
Create an example Modular linePlot Shiny ApplicationlinePlotApp
Input UI components for the linePlot modulelinePlotInputsUI
Output UI components for the linePlot modulelinePlotOutputUI
Server logic for linePlot modulelinePlotServer
Convert linetype name to plotly dash stylelinetype_to_dash
List registered model backendslist_model_backends
Create standard tack UI for module inputsmodule_tack_ui
Compact multi-group color picker inputmultiColorPicker
Dynamic multi-row input for repeating groups of inputsmultiDynamicInput
Organize arbitrary Shiny inputs into a grid layoutorganize_inputs
Create an Interactive Parallel Coordinates Plot with plotlyparallelCoordinatesPlot
Create an example Modular parallelCoordinatesPlot Shiny ApplicationparallelCoordinatesPlotApp
Input UI components for the parallelCoordinatesPlot moduleparallelCoordinatesPlotInputsUI
Output UI components for the parallelCoordinatesPlot moduleparallelCoordinatesPlotOutputUI
Server logic for parallelCoordinatesPlot moduleparallelCoordinatesPlotServer
Parse comma-separated numeric string to vectorparse_numeric_list
Parse pair strings from UI into list of length-2 vectorsparse_pair_strings
Create a plotly pie chartpiePlot
Create an example Modular piePlot Shiny ApplicationpiePlotApp
Input UI components for the piePlot modulepiePlotInputsUI
Output UI components for the piePlot modulepiePlotOutputUI
Server logic for piePlot modulepiePlotServer
Create an example Modular AreaPlot Shiny Applicationplotthis_AreaPlotApp
Input UI components for the AreaPlot moduleplotthis_AreaPlotInputsUI
Output UI components for the AreaPlot moduleplotthis_AreaPlotOutputUI
Server logic for AreaPlot moduleplotthis_AreaPlotServer
Create an example Modular BarPlot Shiny Applicationplotthis_BarPlotApp
Input UI components for the BarPlot moduleplotthis_BarPlotInputsUI
Output UI components for the BarPlot moduleplotthis_BarPlotOutputUI
Server logic for BarPlot moduleplotthis_BarPlotServer
Create an example Modular BoxPlot Shiny Applicationplotthis_BoxPlotApp
Input UI components for the BoxPlot moduleplotthis_BoxPlotInputsUI
Output UI components for the BoxPlot moduleplotthis_BoxPlotOutputUI
Server logic for BoxPlot moduleplotthis_BoxPlotServer
Create an example Modular DensityPlot Shiny Applicationplotthis_DensityPlotApp
Input UI components for the DensityPlot moduleplotthis_DensityPlotInputsUI
Output UI components for the DensityPlot moduleplotthis_DensityPlotOutputUI
Density Plot Server Moduleplotthis_DensityPlotServer
Create an example Modular DotPlot Shiny Applicationplotthis_DotPlotApp
Input UI components for the DotPlot moduleplotthis_DotPlotInputsUI
Output UI components for the DotPlot moduleplotthis_DotPlotOutputUI
Server logic for DotPlot moduleplotthis_DotPlotServer
Create an example Modular Histogram Shiny Applicationplotthis_HistogramApp
Input UI components for the Histogram moduleplotthis_HistogramInputsUI
Output UI components for the histogramPlot moduleplotthis_HistogramOutputUI
Histogram Plot Server Moduleplotthis_HistogramServer
Create an example Modular SplitBarPlot Shiny Applicationplotthis_SplitBarPlotApp
Input UI components for the SplitBarPlot moduleplotthis_SplitBarPlotInputsUI
Output UI components for the SplitBarPlot moduleplotthis_SplitBarPlotOutputUI
Server logic for SplitBarPlot moduleplotthis_SplitBarPlotServer
Create an example Modular ViolinPlot Shiny Applicationplotthis_ViolinPlotApp
Input UI components for the ViolinPlot moduleplotthis_ViolinPlotInputsUI
Output UI components for the ViolinPlot moduleplotthis_ViolinPlotOutputUI
Server logic for ViolinPlot moduleplotthis_ViolinPlotServer
Create a plotly radar chartradarPlot
Create an example Modular radarPlot Shiny ApplicationradarPlotApp
Input UI components for the radarPlot moduleradarPlotInputsUI
Output UI components for the radarPlot moduleradarPlotOutputUI
Server logic for radarPlot moduleradarPlotServer
Recycle style vector to match line countrecycle_line_style
Register a model backendregister_model_backend
Reset uniform axes inputs to defaultsreset_axes_inputs
Reset uniform Legend inputs to defaultsreset_legend_inputs
Reset uniform lines inputs to defaultsreset_lines_inputs
Reset uniform Plotly inputs to defaultsreset_plotly_inputs
Resolve number of rows for a faceted subplot gridresolve_facet_layout
Resolve facet axis sharing from facet.scalesresolve_facet_sharing
Resolve a color palette for plot groupsresolve_palette
Safely evaluate a user-provided filter expression against a data framesafe_eval_filter
Safely resolve an adjustment function name to an actual functionsafe_resolve_adj_fxn
Set up auto-update/isolate logic for reactive contextssetup_auto_update_logic
Set up persistent manual plot layout edits across re-renderssetup_manual_edits
Parse and validate linetype string to a vectorstring_to_linetypes
Generate uniform Axes input UIuniform_axes_inputs_ui
Generate uniform Legend input UIuniform_legend_inputs_ui
Generate uniform Lines input UIuniform_lines_inputs_ui
Generate uniform Plotly input UIuniform_plotly_inputs_ui
Update a multiColorPicker input on the clientupdateMultiColorPicker
Update a multiDynamicInput input on the clientupdateMultiDynamicInput
Validate a user-provided expression string for safetyvalidate_expression