plotBceF2: Plot Receiver-Operator curves for evaluating the performance...

In NabilaRahman/batchPred: batchPred - Objective prediction of relevant set of batch effects variables

Plot Receiver-Operator curves for evaluating the performance of batch correction

Description

refNet Plots ROC curve using results from computeBceF2

Usage

plotBceF2(
  compute_bcef_object,
  line_color = compute_bcef_object[["line.color"]],
  plot_title = compute_bcef_object[["plot.title"]],
  inner_title = "data_desc",
  showLegendBorder = F,
  title_size = 1.2,
  inner_title_size = 0.8
)

Arguments

compute_bcef_object	A list of all variables needed to plot ROC curve
line_color	Character vector of colors (Optional). Must match number of curves plotted.
plot_title	Title of the plot (Optional).
inner_title	String. Specify text to go inside the plot area (top left).
showLegendBorder	If true, draw border around legend. Default=FALSE
title_size	Numeric. Specify size of title
inner_title_size	Numeric. Specify size of inner title

Value

plotBCeF2 Plots ROC curves of raw and batch corrected datasets. Allows you to compare the performance of different sets of covariates.

NabilaRahman/batchPred documentation built on June 19, 2022, 5:35 a.m.