popu is an R data frame that is computed
comp_popu from the current
frequency information (contained in
Each individual is represented as a row;
columns represent the individual's
a corresponding decision
(also encoded as
TRUE = positive or
FALSE = negative),
and its classification (in SDT terms) as either
true positive (an individual hit
false negative (an individual miss
false positive (an individual false alarm
true negative (an individual correct rejection
An object of class
NULL of length 0.
popu is initialized to
and needs to be computed by calling
with current parameter settings.
comp_popu uses the current text information
txt to define
the labels of conditions, decisions, and
A visualization of the current population
popu is provided by
A data frame
N rows (individual cases)
and 3 columns (
"Truth", "Decision", "SDT")
encoded as ordered factors
(with 2, 2, and 4 levels, respectively).
the corresponding generating function
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.
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