Plot model statistics using heatmap.

Plot model statistics using heatmap.

Usage

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

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.

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)