Description Usage Format Details References See Also Examples
cond_false
is a frequency that describes the
number of individuals in the current population N
for which the condition is FALSE
(i.e., actually false cases).
1 
An object of class numeric
of length 1.
Key relationships:
to probabilities:
The frequency of cond_false
individuals depends on the population size N
and
the complement of the condition's prevalence 1  prev
and is split further into two subsets of
fa
by the false alarm rate fart
and
cr
by the specificity spec
.
Perspectives:
by condition:
The frequency cond_false
is determined by the population size N
times the complement of the prevalence (1  prev)
:
cond_false= N x (1  prev)
by decision:
a. The frequency fa
is determined by cond_false
times the false alarm rate fart = (1  spec)
(aka. FPR
):
fa = cond_false x fart = cond_false x (1  spec)
b. The frequency cr
is determined by cond_false
times the specificity spec = (1  fart)
:
cr = cond_false x spec = cond_false x (1  fart)
to other frequencies:
In a population of size N
the following relationships hold:
N = cond_true + cond_false
(by condition)
N = dec_pos + dec_neg
(by decision)
N = dec_cor + dec_err
(by correspondence of decision to condition)
N = hi + mi + fa + cr
(by condition x decision)
Current frequency information is computed by
comp_freq
and contained in a list
freq
.
Consult Wikipedia: Confusion matrix for additional information.
is_freq
verifies frequencies;
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.
Other frequencies: N
,
cond_true
, cr
,
dec_cor
, dec_err
,
dec_neg
, dec_pos
,
fa
, hi
, mi
1 2 3  cond_false < 1000 * .90 # => sets cond_false to 90% of 1000 = 900 cases.
is_freq(cond_false) # => TRUE
is_prob(cond_false) # => FALSE, as cond_false is no probability [but (1  prev) and spec are]

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