Violin plot from a data.table

Per-cell outliers are recomputed within each grouping_column group.

Usage

# S3 method for class 'data.table'
violin_plot_sc(
  x,
  grouping_column,
  variable,
  direction = c("twosided", "below", "above"),
  threshold = 3,
  group_name = NULL,
  var_name = NULL,
  log_scale = TRUE,
  show_outlier = TRUE,
  raster = NULL,
  palette = BX_PALETTES,
  ...
)

Arguments

x

data.table. Input data containing the QC metric.

grouping_column

Character. Column used for the x-axis groups.

variable

Character. Numeric column to plot on the y-axis.

direction

Character. One of "twosided", "below", "above".

threshold

Numeric. Number of MADs for outlier detection (default: 3).

group_name

Character. x-axis label (default: NULL).

var_name

Character. y-axis label (default: NULL).

log_scale

Logical. Apply a log10 y-axis (default: TRUE).

show_outlier

Logical. Overlay outlier points (default: TRUE).

raster

Optional boolean. Shall the plot be rasterised. If NULL and number of cells is larger than 1e5, defaults to TRUE.

palette

String. Discrete palette for the group colours. One of c("main", "sequential", "diverging", "viridis", "spectral"), see bx_colors(). Ignored when show_outlier = TRUE.

...

Ignored.

Value

A ggplot object.