Description Usage Arguments Details Value
View source: R/classify_domains.R
A threshold of significance is applied to the calculated p-values, and a domain classification attributed.
1 2 3 | classify_domains.double(contacts, types, measures = c("P", "Q", "p", "Z"),
thresholds, p.thresholds = c(0.0001, 0.00000001), z.quantiles = c(0.5,
0.75), z.thresholds = NULL)
|
contacts |
The list of domains generated from get_Q_values() |
types |
The names of the elements to iterate over; these are produced by get.fend.samples() and are usually POTENTIAL (if get.fends was TRUE) and OBSERVED |
measures |
The names of the p-value elements in Z_STATISTICS to iterate over; these are produced by get_Z_statistics() |
thresholds |
A list of significance thresholds to apply |
p.threshold |
The threshold to set for all p-value measures |
z.quantile |
The quantile of Z scores above which are considered significant |
z.threshold |
A threshold to apply, overriding z.quantile and ignoring 'types' |
The thresholds list is a 2-level list, the first level indicates the null method used (eg 'OBSERVED') and the second level specifies the measure (eg 'Q' or 'Z').
The contacts list, with additional information in the Z_STATISTICS
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