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 (in SDT terms) as either true positive (an individual hit hi), false negative (an individual miss mi), false positive (an individual false alarm fa), or true negative (an individual correct rejection cr).



An object of class NULL of length 0.


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).


#' popu is initialized to NULL and needs to be computed by calling comp_popu with current parameter settings.

comp_popu uses the current text information contained in txt to define the labels of conditions, decisions, and SDT classifications.

A visualization of the current population popu is provided by plot_icons.

See also

the corresponding generating function comp_popu; read_popu interprets a data frame as a riskyr scenario; num for basic numeric parameters; freq for current frequency information; txt for current text settings.


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
#> Truth Test Cases #> 1 True Positive TP #> 2 True Positive TP #> 3 True Positive TP #> 4 True Positive TP #> 5 True Positive TP #> 6 True Positive TP