Plot FP curves — plot

Plot false positive curves, indicating the number of false positives among the top-ranked N variables, for varying values of N.

Usage

plot_fpc(
  cobraplot,
  title = "",
  stripsize = 15,
  titlecol = "black",
  maxnfdc = 500,
  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.
maxnfdc: A numeric value giving the largest N to consider.
linewidth: The line width used for plotting

Value

A ggplot object

Author

Charlotte Soneson

Examples

data(cobradata_example)
cobraperf <- calculate_performance(cobradata_example,
                                   binary_truth = "status", aspects = "fpc")
#> Warning: Object doesn't have a slot sval. Please run update_cobradata(). For consistency, I will return an empty data.frame
cobraplot <- prepare_data_for_plot(cobraperf, colorscheme = "Dark2",
                                   incltruth = TRUE)
plot_fpc(cobraplot, maxnfdc = 750)
#> Warning: Removed 4946 rows containing missing values or values outside the scale range
#> (`geom_path()`).