Correlation matrix heatmap — mark

Computes a correlation matrix from numeric data columns, optionally reorders by hierarchical clustering, and renders it as a tile heatmap.

Usage

mark_corr(
  plot,
  method = c("pearson", "spearman", "kendall"),
  reorder = TRUE,
  ...,
  rasterize = FALSE,
  rasterize_dpi = 300,
  rasterize_dev = "cairo"
)

Arguments

plot: A plotit object. Numeric columns are extracted from the plot data for correlation computation.
method: Correlation method: "pearson" (default), "spearman", or "kendall".
reorder: If TRUE (default), reorder rows and columns by hierarchical clustering.
...: Other arguments passed to geom_tile
rasterize: If TRUE, rasterize via ggrastr::rasterise().
rasterize_dpi: DPI for rasterization (default 300).
rasterize_dev: Graphics device for rasterization (default "cairo").

Value

Modified plotit object

References

AntV G2: Cell (correlation matrix expression)

Examples

plotit(mtcars, encode()) |> mark_corr()