`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:

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`

.

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#> [1] TRUE#> [1] FALSE