cond_true | R Documentation |
cond_true
is a frequency that describes the
number of individuals in the current population N
for which the condition is TRUE
(i.e., actually true cases).
cond_true
An object of class numeric
of length 1.
Key relationships:
to probabilities:
The frequency of cond_true
individuals depends on the population size N
and
the condition's prevalence prev
and is split further into two subsets of
hi
by the sensitivity sens
and
mi
by the miss rate mirt
.
Perspectives:
by condition:
The frequency cond_true
is determined by the population size N
times the prevalence prev
:
cond_true = N x prev
by decision:
a. The frequency hi
is determined by cond_true
times the sensitivity sens
(aka. hit rate HR
):
hi = cond_true x sens
b. The frequency mi
is determined by cond_true
times the miss rate mirt = (1 - sens)
:
mi = cond_true x mirt = cond_true x (1 - sens)
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_false
,
cr
,
dec_cor
,
dec_err
,
dec_neg
,
dec_pos
,
fa
,
hi
,
mi
cond_true <- 1000 * .10 # => sets cond_true to 10% of 1000 = 100 cases. is_freq(cond_true) # => TRUE is_prob(cond_true) # => FALSE, as cond_true is no probability (but prev and sens are)
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