riskyr (version 0.2.0)

dec_neg: 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:

1. to probabilities: The frequency of dec_neg individuals depends on the population size N and the decision's proportion of negative decisions (1 - ppod) and is split further into two subsets of cr by the negative predictive value NPV and mi by the false omission rate FOR = 1 - NPV.

   Perspectives:

   1. by condition:

      The frequency dec_neg is determined by the population size N times the proportion of negative decisions (1 - ppod):

      dec_neg = N x (1 - ppod)

   2. by decision:

      a. The frequency cr is determined by dec_neg times the negative predictive value NPV:

      cr = dec_neg x NPV

      b. The frequency mi is determined by dec_neg times the false omission rate FOR = (1 - NPV):

      mi = dec_neg x FOR = dec_neg x (1 - NPV)

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)

   • 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_err, dec_pos, fa, hi, mi

Examples

# NOT RUN {
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)
# }

Run the code above in your browser using DataCamp Workspace