do_StripPlot() | Geyser plots

Strip plots display continuous values as jittered points grouped by categories, with summary statistics (mean and confidence intervals) overlaid. Cells can be colored by categorical or continuous variables.

Basic usage

p <- SCpubr::do_StripPlot(sample = sample,
                          features = "nCount_RNA")
p

Color by category

p <- SCpubr::do_StripPlot(sample = sample,
                          features = "nCount_RNA",
                          scale_type = "categorical")
p

Color by continuous value

p <- SCpubr::do_StripPlot(sample = sample,
                          features = "nCount_RNA",
                          scale_type = "continuous")
p

Adjust jitter

Control the horizontal spread of points:

# More compact
p <- SCpubr::do_StripPlot(sample = sample,
                          features = "nCount_RNA",
                          jitter = 0.2)
p

Split by variable

p <- SCpubr::do_StripPlot(sample = sample,
                          features = "nCount_RNA",
                          group.by = "subtype",
                          split.by = "technology")
p

Symmetrical scale

Center the color scale around zero:

p <- SCpubr::do_StripPlot(sample = sample,
                          features = "PC_1",
                          enforce_symmetry = TRUE)
p

Parameter reference

Note

For parameters shared across many functions (color palettes, typography, legend styling), see Shared features.

Core parameters

Parameter Description Default
features Features to plot —
scale_type "continuous" or "categorical" "continuous"

Appearance

Parameter Description Default
jitter Horizontal jitter amount 0.45
order Order groups by median TRUE

See also