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).

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:

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
#> [1] TRUE
is_prob(dec_neg) # => FALSE, as dec_neg is no probability (but ppod, NPV and FOR are)
#> [1] FALSE