Plot model statistics using heatmap. — plotCorHeatmap • scider

Plot model statistics using heatmap.

Usage

plotCorHeatmap(
  model.result,
  stats = c("cor.coef", "t", "p.Pos", "p.Neg"),
  roi = "all",
  cell.type = "all",
  silent = FALSE
)

Arguments

model.result: A dataFrame object.
stats: Character value. Choose either coefficient or t. Coefficient by default.
roi: Character value. By default is all. The specific ROIs to be plotted.
cell.type: Character value. By default is all. The cell types to be plotted.
silent: Do not draw the plot (useful when using the gtable output).

Value

A pheatmap object.

Examples


data("xenium_bc_spe")

coi <- c("Breast cancer", "Fibroblasts", "B cells", "T cells")

spe <- gridDensity(spe, coi = coi)

spe <- findROI(spe, coi = coi, method = "walktrap")

model_result <- corDensity(spe)

plotCorHeatmap(model_result$ROI)