fa is the frequency of false alarms
or false positives (FP)
in a population of N individuals.
faAn object of class numeric of length 1.
Definition:
fa is the frequency of individuals for which
Condition = FALSE and Decision = TRUE (positive).
fa is a measure of incorrect classifications
(type-I-errors), not an individual case.
Relationships:
fart is the probability of false alarms
(aka. false positive rate FPR or fallout);
num contains basic numeric parameters;
init_num initializes basic numeric parameters;
freq contains current frequency information;
comp_freq computes current frequency information;
prob contains current probability information;
comp_prob computes current probability information;
is_freq verifies frequencies.
Other essential parameters: cr,
hi, mi, prev,
sens, spec
Other frequencies: N,
cond_false, cond_true,
cr, dec_cor,
dec_err, dec_neg,
dec_pos, hi, mi