CombinePlots: Combine ggplot2-based plots into a single plot

In ibseq/scs-analysis: Tools for Single Cell Genomics

Description

Combine ggplot2-based plots into a single plot

Usage

CombinePlots(plots, ncol = NULL, legend = NULL, ...)

Arguments

plots	A list of gg objects
ncol	Number of columns
legend	Combine legends into a single legend choose from 'right' or 'bottom'; pass 'none' to remove legends, or NULL to leave legends as they are
...	Extra parameters passed to plot_grid

Value

A combined plot

Examples

data("pbmc_small")
pbmc_small[['group']] <- sample(
  x = c('g1', 'g2'),
  size = ncol(x = pbmc_small),
  replace = TRUE
)
plot1 <- FeaturePlot(
  object = pbmc_small,
  features = 'MS4A1',
  split.by = 'group'
)
plot2 <- FeaturePlot(
  object = pbmc_small,
  features = 'FCN1',
  split.by = 'group'
)
CombinePlots(
  plots = list(plot1, plot2),
  legend = 'none',
  nrow = length(x = unique(x = pbmc_small[['group', drop = TRUE]]))
)

ibseq/scs-analysis documentation built on Feb. 27, 2021, 12:35 a.m.