Display a categorized reference of all available plot functions in ggforge. Helps users discover which function to use for their data.
Examples
# Show all available plot functions
ggforge_gallery()
#> Statistical Plots
#> -----------------
#> ScatterPlot() Scatter plot with size/color mapping, highlighting, and transformations
#> LinePlot() Line plot with error bars, trend lines, and grouped lines
#> BarPlot() Bar plot with grouping, stacking, labels, and trend overlay
#> BoxPlot() Box plot with comparisons, paired data, and trend lines
#> ViolinPlot() Violin plot with box overlay, comparisons, and paired data
#> DensityPlot() Density plot with grouped distributions
#> JitterPlot() Jitter/strip plot with comparisons and highlighting
#> AreaPlot() Stacked area plot showing composition over categories
#> Histogram() Histogram with grouped distributions
#> QQPlot() QQ plot for distribution comparison
#> TrendPlot() Trend plot combining area and bar visualizations
#> RidgePlot() Ridge plot (joy plot) for comparing distributions
#> DotPlot() Dot plot with size/color encoding for matrix-like data
#> LollipopPlot() Lollipop plot (dot-and-stem chart)
#> WaterfallPlot() Waterfall plot for ranked values
#> SplitBarPlot() Split/stacked bar plot for composition analysis
#>
#> Enrichment & Pathway
#> --------------------
#> EnrichMap() Network map of enrichment terms with similarity clustering
#> EnrichNetwork() Network connecting enrichment terms to their genes
#> GSEASummaryPlot() Summary bar/dot plot of GSEA results
#> GSEAPlot() Running enrichment score plot for a single gene set
#>
#> Single-Cell & Spatial
#> ---------------------
#> DimPlot() Dimension reduction plot (UMAP/t-SNE/PCA) with clustering
#> FeatureDimPlot() Feature expression overlay on dimension reduction
#> VelocityPlot() RNA velocity field visualization (raw/grid/stream)
#> SpatImagePlot() Spatial raster image plot
#> SpatPointsPlot() Spatial point plot for cell coordinates
#> SpatShapesPlot() Spatial shape/polygon plot (SpatVector)
#> SpatMasksPlot() Spatial mask overlay plot
#>
#> Genomics
#> --------
#> VolcanoPlot() Volcano plot for differential expression with labeling
#> ManhattanPlot() Manhattan plot for GWAS results
#> VennDiagram() Venn diagram for set overlaps (2-7 sets)
#> UpsetPlot() UpSet plot for complex set intersections
#>
#> Survival & Clinical
#> -------------------
#> KMPlot() Kaplan-Meier survival curve with risk table and p-value
#> CoxPlot() Cox regression forest plot (simple and detailed)
#> ROCCurve() ROC curve with AUC and optimal cutoff
#>
#> Networks & Relationships
#> ------------------------
#> CorPlot() Correlation matrix heatmap with significance
#> ChordPlot() Chord diagram for directional relationships
#> SankeyPlot() Sankey/alluvial diagram for flow data
#> AlluvialPlot() Alluvial plot for categorical data flow
#> Network() Network graph with customizable nodes and edges
#>
#> Specialized Plots
#> -----------------
#> Heatmap() ComplexHeatmap wrapper with annotations and clustering
#> RadarPlot() Radar/spider chart for multivariate comparison
#> SpiderPlot() Spider chart (alias for RadarPlot)
#> PieChart() Pie chart with label positioning
#> RingPlot() Ring/donut chart for proportional data
#> WordCloudPlot() Word cloud from text or frequency data
#> RarefactionPlot() Rarefaction curve for species diversity
#> ClustreePlot() Cluster resolution tree for single-cell clustering
#> CircosPlot() Circos plot for circular data visualization
#>
#> 48 plot functions available. Use ?FunctionName for details.
#> Online docs: https://zaoqu-liu.github.io/ggforge/reference/
# Show only survival & clinical plots
ggforge_gallery("survival")
#> Survival & Clinical
#> -------------------
#> KMPlot() Kaplan-Meier survival curve with risk table and p-value
#> CoxPlot() Cox regression forest plot (simple and detailed)
#> ROCCurve() ROC curve with AUC and optimal cutoff
#>
#> 3 plot functions available. Use ?FunctionName for details.
#> Online docs: https://zaoqu-liu.github.io/ggforge/reference/
# Open the online reference page
if (FALSE) { # \dontrun{
ggforge_gallery(browse = TRUE)
} # }