riskyr (version 0.1.0)

dec.err: Number of individuals for which the decision is erroneous.

Description

dec.err is a frequency that describes the number of individuals in the current population N for which the decision is incorrect or erroneous (i.e., cases in which the decision does not correspond to the condition).

Usage

dec.err

Format

An object of class numeric of length 1.

Details

Key relationships:

1. to probabilities: The frequency of dec.err individuals depends on the population size N and is equal to the sum of false negatives mi and false positives fa.

2. 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)

   • dec.cor = hi + cr

   • dec.err = mi + fa

   • N = hi + mi + fa + cr (by condition x decision)

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.neg, dec.pos, fa, hi, mi

Examples

# NOT RUN {
dec.err <- 1000 * .50   # => sets dec.err to 50% of 1000 = 500 cases.
is_freq(dec.err)        # => TRUE
is_prob(dec.err)        # => FALSE, as dec.err is no probability (but acc, bacc/wacc ARE)
# }