RCPGenerator calculates RCP, Relative Control Percentile, a case-control statistic describing the percentile from 0.0 to 1.0 of one score against that of a control population. For example, if a control population consisted of three scores, 4.1, 5.0, 6.8, and 10.1, then a score of 5.0 would be assigned an RCP of 0.25, because 5.0 is higher than 25 population. In this implementation, ties count as losses.
1 2 | RCPGenerator(case, ctrl, min_hits = 0, hit_thresh = 0,
verbose = FALSE)
|
case |
Data frame of cases. |
ctrl |
Data frame of controls. |
min_hits |
Numeric, hreshold for number of cases scoring above hit_thresh in original score required to be retained after filtering. By default, min_hits is set to 0 and thus RCP is calculated for all peptides. Setting a nonzero value for min_hits is only recommended if calculating RCP for all peptides is prohibitively slow. |
hit_thresh |
Vector of numeric, threshold value to apply when considering min_hits. hit_thresh is only evaluated if min_hits > 0. |
verbose |
Logical to print status updates to console. |
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