gen_roc_curve: Generate receiver operating characteristic curve

In liangyy/silver-standard-performance: Generating PR/ROC curves in light and flexible way

Description

Given the set of true signals and the set of candidate genes along with their scores and proposing method, generate ROC curve, which is a sequence of FPR and TPR measured at a set of cutoffs

Usage

gen_roc_curve(true_genes, gene, score, method = "gt", cutoff = NULL)

Arguments

true_genes	the set of true signals
gene	the set of all candidate signals
score	the scores of the candidates (the same length as gene)
method	method = 'gt' to propose score greater than threshold; method = 'lt' to propose score less than threshold
cutoff	cutoff = NULL will use all unique scores from true signals as cutoffs (essentially this is the finest grid we can get)

Value

a data.frame with all columns of compute_tpr_and_fpr's output along with cutoff column telling which cutoff is used to obtain the results of the row

Examples

gen_roc_curve(
  true_genes = c('g1', 'g3', 'g4'),
  gene = c('g1', 'g2', 'g3', 'g4', 'g5', 'g6'),
  score = 1:6,
  method = 'gt',
  cutoff = NULL
)

liangyy/silver-standard-performance documentation built on Dec. 5, 2019, 8:53 a.m.