hc_plot_roc: Plot a ROC curve for precision vs recall

In Illumina/happyCompare: Reporting toolbox for hap.py output

Description

Plot precision vs recall ROC curves from the selected filters. If pr.all is provided, overlay pass points to ALL curve.

Usage

hc_plot_roc(happy_roc, type, filter, subtype = "*", subset = "*",
  xlim = NA, ylim = NA)

Arguments

happy_roc	A happy_roc object.
type	Variant type.
filter	Variant filter.
subtype	Variant subtype. Default: *.
subset	Variant subset. Default: *.
xlim	Vector with x axis limits, e.g. c(0, 1). Default: auto-adjust.
ylim	Vector with y axis limits, e.g. c(0, 1). Default: auto-adjust.

Examples

## Not run: 
roc <- extract_metrics(happy_compare, table = "pr.all")
hc_plot_roc(roc, type = "INDEL", filter = "PASS")

## End(Not run)

Illumina/happyCompare documentation built on July 12, 2019, 7:57 p.m.