Violin Plots | Custom axes labels | Median | Enchanced annotation demonstration. | Sources

Plot Defaults | Plot colours: Violin Fill | Vectorisation | Plot colours: Violin Lines and Boxplot | Combined customisation | Enhanced Annotation | Labelling group size | Plotting outliers and medians

Plot Defaults | Plot colours: Violin Fill | Vectorisation | Plot colours: Violin Lines and Boxplot | Combined customisation | Enhanced Annotation | Labelling group size | Plotting outliers and medians

Plot Defaults | Histogram plot | Plot colours: Histogram Fill | Vectorisation | Plot colours: Violin Lines and Boxplot | Combined customisation | Split Bihistogram Plots | Split Histogram Plots | Fine tuning with split histograms | Shading histograms

Benchmarking the Leiden Algorithm | Clustering with the Leiden Algorithm in R | Set up the python version to be called in R | Python implementation | Running in Python | Benchmarking the Python version with reticulate | R implementation | Running in R via reticulate and igraph | Calling python in R via reticulate | Calling C in R with igraph | Benchmarking the R version with reticulate | Large adjacency matrices | Comparing the adjacency matrix calling | Benchmarking C in R with igraph | Summary

Clustering with the Leiden Algorithm on Multiplex Graphs | Set up | Usage | Multiplex graph objects | Running the Leiden algorithm in R | Fine-tuning with resolution | Fine-tuning with maximum community size | Multiplex cost functions

Introduction: Integration with base R graphics | Plotting violins with highlighted medians | Custom axes and titles | Annotated histograms

Plot Defaults | Plot colours: Histogram Fill | Vectorisation | Plot colours: Violin Lines and Boxplot | Combined customisation | Split Bihistogram Plots

Clustering with the Leiden Algorithm in R | Install | Usage | Running the Leiden algorithm in R | Running Leiden with arguments passed to leidenalg | Running on a Seurat Object | Seurat version 2 | Seurat version 3 or later

Clustering with the Leiden Algorithm in R | Install | Usage | Running the Leiden algorithm in R | Running Leiden with arguments passed to leidenalg | Running on a Seurat Object | Seurat version 2 | Seurat version 3 or later

Clustering with the Leiden Algorithm on Bipartite Graphs | Set up | Usage | Bipartite graph objects | Running the Leiden algorithm in R | Bipartite cost functions | Resolution Parameter | Maximum Community Size Parameter | Equivalence of cost functions

Comparing distributions