| dec_neg {riskyr} | R Documentation |
Number of individuals for which the decision is negative.
Description
dec_neg is a frequency that describes the
number of individuals in the current population N
for which the decision is negative (i.e., cases not called or not predicted).
Usage
dec_neg
Format
An object of class numeric of length 1.
Details
Key relationships:
to probabilities: The frequency of
dec_negindividuals depends on the population sizeNand the decision's proportion of negative decisions(1 - ppod)and is split further into two subsets ofcrby the negative predictive valueNPVandmiby the false omission rateFOR = 1 - NPV.Perspectives:
by condition:
The frequency
dec_negis determined by the population sizeNtimes the proportion of negative decisions(1 - ppod):by decision:
a. The frequency
cris determined bydec_negtimes the negative predictive valueNPV:b. The frequency
miis determined bydec_negtimes the false omission rateFOR = (1 - NPV):
to other frequencies: In a population of size
Nthe following relationships hold:
Current frequency information is computed by
comp_freq and contained in a list
freq.
References
Consult Wikipedia: Confusion matrix for additional information.
See Also
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,
cond_true,
cr,
dec_cor,
dec_err,
dec_pos,
fa,
hi,
mi
Examples
dec_neg <- 1000 * .67 # => sets dec_neg to 67% of 1000 = 670 cases.
is_freq(dec_neg) # => TRUE
is_prob(dec_neg) # => FALSE, as dec_neg is no probability (but ppod, NPV and FOR are)