plot_fdrnbrcurve {iCOBRA} | R Documentation

## Plot number of significant features vs FDR

### Description

Plot the number of features considered significant 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_fdrnbrcurve(cobraplot, title = "", stripsize = 15,
      titlecol = "black", pointsize = 5, xaxisrange = c(0, 1),
      plottype = c("curve", "points"), linewidth = 1)

### Arguments

`cobraplot` | A `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.
`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

### Author(s)

Charlotte Soneson

### Examples

    data(cobradata_example)
    cobraperf <- calculate_performance(cobradata_example,
                                       binary_truth = "status",
                                       aspects = c("fdrnbr", "fdrnbrcurve"))
    cobraplot <- prepare_data_for_plot(cobraperf, colorscheme = "Dark2",
                                       incltruth = TRUE)
    plot_fdrnbrcurve(cobraplot, plottype = c("curve", "points"))

[Package iCOBRA version 1.10.0 Index]