computeDiscrimination: Compute discrimination (confidence for correct answers -...

Description Usage Arguments Value Examples

Description

Compute discrimination (confidence for correct answers - confidence for incorrect answers) for each participant in Jackson Phd test data frame. To be called with compute().

Usage

1
computeDiscrimination(x, group = c(T), na.rm = TRUE)

Arguments

x

Data frame from phd sample.

group

Logical vector used to return a group of the candidate results. See ?getCol for details.

na.rm

logical. Should missing values (including NaN) be omitted from the calculations? Default = True

Value

Discrimination vector.

Examples

1

drsimonj/jacksonphd documentation built on May 15, 2019, 2:52 p.m.