Problems trying to generate a kernel density plot with more than 2 genes

[evaesquinas]

I want to generate a Kernel Density plot with my scRNAseq data for a particular list of genes. The vignette of this package shows you an example plotting the join density of 2 genes. I have been checking the documentation and it doesn't seem that you have a limit of genes to plot.

However, when I try to add more genes (<2)... I am having problems (it doesn't generate anything).

Example:

library(Seurat)
library(Nebulosa)
data <- SeuratObject::pbmc_small
data <- RunPCA(data)
data <- RunUMAP(data, dims = 1:10)
data <- FindNeighbors(data, dims = 1:10)
data <- FindClusters(data)

# it works
p4 <- plot_density(data, c("CD8A", "RUFY1"), joint = TRUE)
p4 + plot_layout(ncol = 1)

If I add more genes,, it generates an empty plot (it doesn't give me any error)

p4 <- plot_density(data, c("CD8A", "CCR7", "VDAC3", "TREML1", "CA2", "SDPR", "PPBP", "IGLL5", "GNLY", "CD1C", "S100A9", "RUFY1"), joint = TRUE)
p4 + plot_layout(ncol = 1)

My environment:

• R version 4.2.2 (2022-10-31 ucrt)
• Nebulosa_1.0.1
• patchwork_1.2.0
• ggplot2_3.5.1
• SeuratObject_4.1.3
• Seurat_4.3.0

Could anybody help me, please? Any feedback will be well received.

Thanks very much in advance!