popu is an R data frame that is computed
by comp_popu from the current
frequency information (contained in freq).
Each individual is represented as a row;
columns represent the individual's
condition (TRUE or FALSE),
a corresponding decision
(also encoded as TRUE = positive or FALSE = negative),
and its classification (i.e., its case or cell combination, in SDT terms), as
true positive (hit hi),
false negative (miss mi),
false positive (false alarm fa), or
true negative (correct rejection cr).
Value
A data frame popu
containing N rows (individual cases)
and 3 columns ("Truth", "Decision", "SDT")
encoded as ordered factors
(with 2, 2, and 4 levels, respectively).
Details
#' popu is initialized to NULL
and needs to be computed by calling comp_popu
with current parameter settings.
By default, comp_popu uses the current information
contained in txt to define text labels.
A visualization of the current population
popu is provided by plot_icons.
Examples
popu <- comp_popu() # => initializes popu with current values of freq and txt
dim(popu) # => N x 3
#> [1] 1000 3
head(popu) # => shows head of data frame
#> True condition Outcome Cases
#> 1 present positive TP
#> 2 present positive TP
#> 3 present positive TP
#> 4 present positive TP
#> 5 present positive TP
#> 6 present positive TP