visualize.power.grid: Plotting function to visualize calculated power as heatmap,...

In heiniglab/scPower: Experimental design framework for scRNAseq population studies (eQTL and DE)

Plotting function to visualize calculated power as heatmap, splitted into the separate components of expression probability, power and detection power

Description

Plotting function to visualize calculated power as heatmap, splitted into the separate components of expression probability, power and detection power

Usage

visualize.power.grid(
  powerDf,
  var.axis1 = "sampleSize",
  var.axis2 = "totalCells"
)

Arguments

powerDf	Data frame with power calculation for different parameter combinations
var.axis1	Variable which should be plotted at the x axis (possible values: sampleSize, totalCells and readDepth)
var.axis2	Variable which should be plotted at the y axis (possible values: sampleSize, totalCells and readDepth)

Value

ggplot object with a heatmap of the two power components plus overall power

heiniglab/scPower documentation built on Jan. 9, 2025, 12:13 p.m.