Learn R Programming

iCOBRA (version 1.0.2)

plot_fdrtprcurve: Plot TPR vs FDR

Description

Plot observed true positive rate (TPR) vs observed false discovery rate (FDR), for given adjusted p-value thresholds and/or as curves traced out by considering all threshold values.

Usage

plot_fdrtprcurve(cobraplot, title = "", stripsize = 15,
  titlecol = "black", pointsize = 5, xaxisrange = c(0, 1),
  yaxisrange = c(0, 1), plottype = c("curve", "points"), linewidth = 1)

Arguments

cobraplot
An COBRAPlot object.
title
A character string giving the title of the plot.
stripsize
A numeric value giving the size of the strip text, when the results are stratified by an annotation.
titlecol
A character string giving the color of the title.
pointsize
A numeric value giving the size of the plot characters.
xaxisrange
A numeric vector with two elements, giving the lower and upper boundary of the x-axis, respectively.
yaxisrange
A numeric vector with two elements, giving the lower and upper boundary of the y-axis, respectively.
plottype
A character vector giving the type of plot to construct. Can be any combination of the two elements "curve" and "points".
linewidth
The line width used for plotting

Value

  • A ggplot object

Examples

Run this code
data(cobradata_example)
cobraperf <- calculate_performance(cobradata_example,
                                   binary_truth = "status",
                                   aspects = c("fdrtpr", "fdrtprcurve"))
cobraplot <- prepare_data_for_plot(cobraperf, colorscheme = "Dark2",
                                   incltruth = TRUE)
plot_fdrtprcurve(cobraplot, plottype = c("curve", "points"))

Run the code above in your browser using DataLab