Seurat Themes
Various themes to be applied to ggplot2-based plots
SeuratThemeThe curated Seurat theme, consists of ...
DarkThemeA dark theme, axes and text turn to white, the background becomes black
NoAxesRemoves axis lines, text, and ticks
NoLegendRemoves the legend
FontSizeSets axis and title font sizes
NoGridRemoves grid lines
SeuratAxesSet Seurat-style axes
SpatialThemeA theme designed for spatial visualizations (eg PolyFeaturePlot, PolyDimPlot)
RestoreLegendRestore a legend after removal
RotatedAxisRotate X axis text 45 degrees
BoldTitleEnlarges and emphasizes the title
SeuratTheme() CenterTitle(...) DarkTheme(...) FontSize( x.text = NULL, y.text = NULL, x.title = NULL, y.title = NULL, main = NULL, ... ) NoAxes(..., keep.text = FALSE, keep.ticks = FALSE) NoLegend(...) NoGrid(...) SeuratAxes(...) SpatialTheme(...) RestoreLegend(..., position = "right") RotatedAxis(...) BoldTitle(...) WhiteBackground(...)
... |
Extra parameters to be passed to |
x.text, y.text |
X and Y axis text sizes |
x.title, y.title |
X and Y axis title sizes |
main |
Plot title size |
keep.text |
Keep axis text |
keep.ticks |
Keep axis ticks |
position |
A position to restore the legend to |
A ggplot2 theme object
# Generate a plot with a dark theme library(ggplot2) df <- data.frame(x = rnorm(n = 100, mean = 20, sd = 2), y = rbinom(n = 100, size = 100, prob = 0.2)) p <- ggplot(data = df, mapping = aes(x = x, y = y)) + geom_point(mapping = aes(color = 'red')) p + DarkTheme(legend.position = 'none') # Generate a plot with no axes library(ggplot2) df <- data.frame(x = rnorm(n = 100, mean = 20, sd = 2), y = rbinom(n = 100, size = 100, prob = 0.2)) p <- ggplot(data = df, mapping = aes(x = x, y = y)) + geom_point(mapping = aes(color = 'red')) p + NoAxes() # Generate a plot with no legend library(ggplot2) df <- data.frame(x = rnorm(n = 100, mean = 20, sd = 2), y = rbinom(n = 100, size = 100, prob = 0.2)) p <- ggplot(data = df, mapping = aes(x = x, y = y)) + geom_point(mapping = aes(color = 'red')) p + NoLegend() # Generate a plot with no grid lines library(ggplot2) df <- data.frame(x = rnorm(n = 100, mean = 20, sd = 2), y = rbinom(n = 100, size = 100, prob = 0.2)) p <- ggplot(data = df, mapping = aes(x = x, y = y)) + geom_point(mapping = aes(color = 'red')) p + NoGrid()
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.