| gamma.nbest {UCS} | R Documentation |
Computes a suitable value of γ such that the acceptance region \{g ≥ γ\} contains exactly n candidates from a given data set.
gamma.nbest(ds, name, n, jitter=FALSE)
ds |
a UCS data set object |
name |
name of a generalised association measure (GAM) |
n |
an integer, specifying the number of candidates to be included in the acceptance region |
jitter |
if TRUE, random jitter is added to the
coordinates of candidates for computation of the n-best threshold |
When jitter=TRUE, the data set ds must contain jitter
vectors stored in special variables. Such jitter variables can easily
be added with the add.jitter function.
a real number specifying a suitable threshold γ, i.e.
the data set ds contains exactly n candidates with
a GAM score g ≥ γ (for the specified measure name)
add.jitter, gam.score,
add.gams, gam.iso, builtin.gams
e <- 10^seq(-2, 1, .1) # 100-best iso-line for UCS data set ds
gamma <- gamma.nbest(ds, "t.score", 100)
o <- gam.iso("t.score", gamma, e=e)