{ "_id": "6abd698599f7aa8c6aa50056", "Package": "VizModules", "Title": "Flexible, Interactive 'shiny' Modules for Almost Any Plot", "Version": "0.5.0", "Authors@R": "c(person(given = \"Jared\", family = \"Andrews\", email = \"jared.andrews07@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-0780-6248\")),\nperson(given = \"Jacob\",\nfamily = \"Martin\",\nrole = c(\"aut\"),\ncomment = c(ORCID = \"0009-0007-6896-4796\"),\nemail = \"jacob@martin-email.com\"))", "Description": "Offers a core selection of interactivity-first 'shiny'\nmodules for many plot types meant to serve as flexible building\nblocks for applications and as the base for more complex\nmodules. These modules allow for the rapid and convenient\nconstruction of 'shiny' apps with very few lines of code and\ndecouple plotting from the underlying data. These modules allow\nfor full plot aesthetic customization by the end user through\nUI inputs. Utility functions for simple UI organization,\nautomated UI tooltips, and additional plot enhancements are\nalso provided. Includes a multi-panel figure builder app for\narranging multiple modules together in a free-form layout.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "URL": "https://j-andrews7.github.io/VizModules/,\nhttps://github.com/j-andrews7/VizModules", "Config/roxygen2/version": "8.1.0", "Config/pak/sysreqs": "cmake make libicu-dev libjpeg-dev libpng-dev\nlibuv1-dev libxml2-dev libssl-dev zlib1g-dev", "Repository": "https://j-andrews7.r-universe.dev", "Date/Publication": "2026-09-30 16:11:30 UTC", "RemoteUrl": "https://github.com/j-andrews7/vizmodules", "RemoteRef": "HEAD", "RemoteSha": "c0025658a7bf0adfb703cd9a7c90444a294aec2a", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-30 19:41:42 UTC", "User": "root" }, "Author": "Jared Andrews [aut, cre] (ORCID:\n),\nJacob Martin [aut] (ORCID: )", "Maintainer": "Jared Andrews ", "_user": "j-andrews7", "_type": "src", 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"version": "0.1.1", "date": "2026-04-08" }, { "version": "0.2.0", "date": "2026-06-17" }, { "version": "0.3.0", "date": "2026-07-27" }, { "version": "0.4.0", "date": "2026-08-29" }, { "version": "0.5.0", "date": "2026-09-30" } ], "_exports": [ "add_ablines", "add_hlines", "add_plot_config", "add_reference_lines", "add_vlines", "adjust_column_values", "adjusted_axis_label", "apply_axis_title_to_annotations", "apply_facet_subplot_spacing", "apply_legend_inputs", "apply_legend_styling", "apply_plotly_newshape", "apply_render_margins", "apply_stat_annotations", "apply_subplot_axis_styling", "apply_title_layout", "axis_titles_as_annotations", "build_facet_annotations", "build_facet_panel_borders", "build_model_row_spec", "clean_facet_dim", "collect_source_data", "ComplexHeatmap_HeatmapApp", "ComplexHeatmap_HeatmapInfoOutputUI", "ComplexHeatmap_HeatmapInputsUI", "ComplexHeatmap_HeatmapMainOutputUI", "ComplexHeatmap_HeatmapOutputUI", "ComplexHeatmap_HeatmapServer", "ComplexHeatmap_HeatmapStaticOutputUI", "ComplexHeatmap_HeatmapSubOutputUI", "compute_pairwise_stats", "create_axis_styles", "create_ggplot_axis_style", "create_source_download_handler", "create_stat_annotations", "createModuleApp", "dataFilterServer", "dataFilterUI", "default_palettes", "dittoViz_freqPlotApp", "dittoViz_freqPlotInputsUI", "dittoViz_freqPlotOutputUI", "dittoViz_freqPlotServer", "dittoViz_scatterPlotApp", "dittoViz_scatterPlotInputsUI", "dittoViz_scatterPlotOutputUI", "dittoViz_scatterPlotServer", "dittoViz_yPlotApp", "dittoViz_yPlotInputsUI", "dittoViz_yPlotOutputUI", "dittoViz_yPlotServer", "draw_to_png", "draw_to_svg", "dumbbellPlot", "dumbbellPlotApp", "dumbbellPlotInputsUI", "dumbbellPlotOutputUI", "dumbbellPlotServer", "empty_plot", "figureBuilderApp", "figureBuilderServer", "figureBuilderUI", "finalize_manual_edits", "generate_pair_strings", "get_default", "get_documentation", "get_model_backend", "heatmap_fit_width", "hide_input", "is_pure_type", "linePlot", "linePlotApp", "linePlotInputsUI", "linePlotOutputUI", "linePlotServer", "linetype_to_dash", "list_model_backends", "module_tack_ui", "moduleGalleryApp", "multiColorPicker", "multiDynamicInput", "organize_inputs", "parallelCoordinatesPlot", "parallelCoordinatesPlotApp", "parallelCoordinatesPlotInputsUI", "parallelCoordinatesPlotOutputUI", "parallelCoordinatesPlotServer", "parse_numeric_list", "parse_pair_strings", "piePlot", "piePlotApp", "piePlotInputsUI", "piePlotOutputUI", "piePlotServer", "plotthis_AreaPlotApp", "plotthis_AreaPlotInputsUI", "plotthis_AreaPlotOutputUI", "plotthis_AreaPlotServer", "plotthis_BarPlotApp", "plotthis_BarPlotInputsUI", "plotthis_BarPlotOutputUI", "plotthis_BarPlotServer", "plotthis_BoxPlotApp", "plotthis_BoxPlotInputsUI", "plotthis_BoxPlotOutputUI", "plotthis_BoxPlotServer", "plotthis_DensityPlotApp", "plotthis_DensityPlotInputsUI", "plotthis_DensityPlotOutputUI", "plotthis_DensityPlotServer", "plotthis_DotPlotApp", "plotthis_DotPlotInputsUI", "plotthis_DotPlotOutputUI", "plotthis_DotPlotServer", "plotthis_HistogramApp", "plotthis_HistogramInputsUI", "plotthis_HistogramOutputUI", "plotthis_HistogramServer", "plotthis_SplitBarPlotApp", "plotthis_SplitBarPlotInputsUI", "plotthis_SplitBarPlotOutputUI", "plotthis_SplitBarPlotServer", "radarPlot", "radarPlotApp", "radarPlotInputsUI", "radarPlotOutputUI", "radarPlotServer", "recycle_line_style", "register_model_backend", "reset_annotation_inputs", "reset_axes_inputs", "reset_axis_title_text", "reset_legend_inputs", "reset_lines_inputs", "reset_plotly_inputs", "resolve_column_targets", "resolve_facet_layout", "resolve_facet_sharing", "resolve_palette", "safe_eval_filter", "safe_resolve_adj_fxn", "setup_auto_update_logic", "setup_axis_range", "setup_group_colors", "setup_manual_edits", "setup_reactive_defaults", "show_input", "stat_bracket_y_max", "string_to_linetypes", "toggle_input_cell", "uniform_annotation_inputs_ui", "uniform_axes_inputs_ui", "uniform_legend_inputs_ui", "uniform_lines_inputs_ui", "uniform_plotly_inputs_ui", "update_viz_select", "updateMultiColorPicker", "updateMultiDynamicInput", "use_vizmodules_skills", "validate_expression", "viz_select_input" ], "_datasets": [ { "name": "example_bar", "title": "Bar dataset for bar and split bar plot examples", "object": "example_bar", "class": [ "data.frame" ], "fields": [ "Group", "Type", "Values", "Numbers", "Score" ], "rows": 18, "table": true, "tojson": true }, { "name": "example_composition", "title": "Example single-cell-style composition data for the freqPlot module", "object": "example_composition", "class": [ "data.frame" ], "fields": [ "cell_id", "sample", "condition", "batch", "cell_type", "n_genes", "percent_mito" ], "rows": 1800, "table": true, "tojson": true }, { "name": "example_demographics", "title": "Example demographics dataset", "object": "example_demographics", "class": [ "data.frame" ], "fields": [ "department", "job_level", "gender", "age", "salary", "satisfaction", "performance", "tenure_years", "weekly_hours", "work_mode", "employee_id" ], "rows": 500, "table": true, "tojson": true }, { "name": "example_heatmap_column_data", "title": "Example sample-metadata table for the ComplexHeatmap module", "object": "example_heatmap_column_data", "class": [ "data.frame" ], "fields": [ "sample", "condition", "batch", "library_size" ], "rows": 12, "table": true, "tojson": true }, { "name": "example_heatmap_matrix", "title": "Example gene-expression-style matrix for the ComplexHeatmap module", "object": "example_heatmap_matrix", "class": [ "data.frame" ], "fields": [ "gene", "pathway", "mean_expression", "Healthy_1", "Healthy_2", "Healthy_3", "Healthy_4", "Healthy_5", "Healthy_6", "Disease_1", "Disease_2", "Disease_3", "Disease_4", "Disease_5", "Disease_6" ], "rows": 30, "table": true, "tojson": true }, { "name": "example_iris", "title": "Example grouped iris dataset", "object": "example_iris", "class": [ "data.frame" ], "fields": [ "Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width", "Species", "Group" ], "rows": 150, "table": true, "tojson": true }, { "name": "example_markers", "title": "Example single-cell marker gene dataset for dot plots", "object": "example_markers", "class": [ "data.frame" ], "fields": [ "cell_type", "gene", "avg_expression", "pct_expressed" ], "rows": 104, "table": true, "tojson": true }, { "name": "example_mtcars", "title": "Example mtcars dataset with factors", "object": "example_mtcars", "class": [ "data.frame" ], "fields": [ "mpg", "cyl", "disp", "hp", "drat", "wt", "qsec", "vs", "am", "gear", "carb" ], "rows": 32, "table": true, "tojson": true }, { "name": "example_population", "title": "Example population dataset", "object": "example_population", "class": [ "data.frame" ], "fields": [ "year", "age_group", "count", "record_id" ], "rows": 400, "table": true, "tojson": true }, { "name": "example_rnaseq", "title": "Example pseudo-bulk RNA-seq dataset", "object": "example_rnaseq", "class": [ "data.frame" ], "fields": [ "cell_type", "gene", "condition", "replicate", "log2_cpm", "avg_expression", "neg_log10_pval" ], "rows": 288, "table": true, "tojson": true }, { "name": "example_sales", "title": "Example sales dataset", "object": "example_sales", "class": [ "data.frame" ], "fields": [ "region", "revenue", "year", "month", "units", "sale_id", "product_line", "profit" ], "rows": 720, "table": true, "tojson": true }, { "name": "example_school_earnings", "title": "Example school earnings dataset for dumbbell plots", "object": "example_school_earnings", "class": [ "data.frame" ], "fields": [ "School", "Women", "Men", "Group" ], "rows": 6, "table": true, "tojson": true }, { "name": "example_skills", "title": "Example multi-player skills dataset for radar plots", "object": "example_skills", "class": [ "data.frame" ], "fields": [ "category", "value", "player" ], "rows": 18, "table": true, "tojson": true } ], "_help": [ { "page": "add_ablines", "title": "Build diagonal (abline) line shapes for a plotly figure", "topics": [ "add_ablines" ] }, { "page": "add_hlines", "title": "Build horizontal line shapes for a plotly figure", "topics": [ "add_hlines" ] }, { "page": "add_plot_config", "title": "Create default Plotly configuration", "topics": [ "add_plot_config" ] }, { "page": "add_reference_lines", "title": "Add reference lines to a plotly figure from Shiny inputs", "topics": [ "add_reference_lines" ] }, { "page": "add_vlines", "title": "Build vertical line shapes for a plotly figure", "topics": [ "add_vlines" ] }, { "page": "adjust_column_values", "title": "Adjust numeric column values in a data frame using mathematical transformations", "topics": [ "adjust_column_values" ] }, { "page": "adjusted_axis_label", "title": "Build an adjustment-aware axis label", "topics": [ "adjusted_axis_label" ] }, { "page": "apply_axis_title_to_annotations", "title": "Apply axis title font styling to shared facet axis annotations", "topics": [ "apply_axis_title_to_annotations" ] }, { "page": "apply_facet_subplot_spacing", "title": "Apply custom subplot spacing to a faceted ggplotly figure", "topics": [ "apply_facet_subplot_spacing" ] }, { "page": "apply_legend_inputs", "title": "Apply the uniform Legend inputs to a plotly figure", "topics": [ "apply_legend_inputs" ] }, { "page": "apply_legend_styling", "title": "Apply uniform legend styling to a plotly figure", "topics": [ "apply_legend_styling" ] }, { "page": "apply_plotly_newshape", "title": "Apply Plotly newshape styling from uniform Plotly inputs", "topics": [ "apply_plotly_newshape" ] }, { "page": "apply_render_margins", "title": "Apply standard render-time margin layout to a plotly figure", "topics": [ "apply_render_margins" ] }, { "page": "apply_stat_annotations", "title": "Apply statistical annotation shapes and annotations to a plotly figure", "topics": [ "apply_stat_annotations" ] }, { "page": "apply_subplot_axis_styling", "title": "Apply axis styling to all subplot axes in a plotly figure", "topics": [ "apply_subplot_axis_styling" ] }, { "page": "apply_title_layout", "title": "Apply plot title styling to a plotly figure", "topics": [ "apply_title_layout" ] }, { "page": "axis_titles_as_annotations", "title": "Convert native cartesian axis titles to draggable annotations", "topics": [ "axis_titles_as_annotations" ] }, { "page": "build_facet_annotations", "title": "Build facet subplot annotations", "topics": [ "build_facet_annotations" ] }, { "page": "build_facet_panel_borders", "title": "Build paper-anchored panel border shapes for a faceted plotly figure", "topics": [ "build_facet_panel_borders" ] }, { "page": "build_model_row_spec", "title": "Build a dynamic row_spec from registered backends", "topics": [ "build_model_row_spec" ] }, { "page": "clean_facet_dim", "title": "Clean and validate facet dimension value for lineplot module", "topics": [ "clean_facet_dim" ] }, { "page": "collect_source_data", "title": "Collect plot and source data for download", "topics": [ "collect_source_data" ] }, { "page": "ComplexHeatmap_HeatmapApp", "title": "Create an example Modular ComplexHeatmap Shiny Application", "topics": [ "ComplexHeatmap_HeatmapApp" ] }, { "page": "ComplexHeatmap_HeatmapInfoOutputUI", "title": "Click/brush info output UI component for the ComplexHeatmap module", "topics": [ "ComplexHeatmap_HeatmapInfoOutputUI" ] }, { "page": "ComplexHeatmap_HeatmapInputsUI", "title": "Input UI components for the ComplexHeatmap module", "topics": [ "ComplexHeatmap_HeatmapInputsUI" ] }, { "page": "ComplexHeatmap_HeatmapMainOutputUI", "title": "Main heatmap output UI component for the ComplexHeatmap module", "topics": [ "ComplexHeatmap_HeatmapMainOutputUI" ] }, { "page": "ComplexHeatmap_HeatmapOutputUI", "title": "Output UI components for the ComplexHeatmap module", "topics": [ "ComplexHeatmap_HeatmapOutputUI" ] }, { "page": "ComplexHeatmap_HeatmapServer", "title": "Server logic for the ComplexHeatmap module", "topics": [ "ComplexHeatmap_HeatmapServer" ] }, { "page": "ComplexHeatmap_HeatmapStaticOutputUI", "title": "Static (non-interactive) heatmap output UI component for the ComplexHeatmap module", "topics": [ "ComplexHeatmap_HeatmapStaticOutputUI" ] }, { "page": "ComplexHeatmap_HeatmapSubOutputUI", "title": "Sub-heatmap output UI component for the ComplexHeatmap module", "topics": [ "ComplexHeatmap_HeatmapSubOutputUI" ] }, { "page": "compute_pairwise_stats", "title": "Compute pairwise statistical tests between groups", "topics": [ "compute_pairwise_stats" ] }, { "page": "create_axis_styles", "title": "Create Plotly axis style list", "topics": [ "create_axis_styles" ] }, { "page": "create_ggplot_axis_style", "title": "Create ggplot axis styling theme arguments", "topics": [ "create_ggplot_axis_style" ] }, { "page": "create_source_download_handler", "title": "Create download handler for plot with source data", "topics": [ "create_source_download_handler" ] }, { "page": "create_stat_annotations", "title": "Create plotly shapes and 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