getResult.ISR: Calculate stats analyzing the quality of the Item Selection...
In yuehmeir2/CATSimulator: Library for Simulation of Adaptive Item Selection
Description
Usage
Arguments
Value
Examples
Description
Calculate stats analyzing the quality of the Item Selection aspect
of a completed simulation.
Usage
1
getResult.ISR(simulation, simulationOut)
Arguments
simulation
An object defining the test that was run.
simulationOut
A tibble of data from simulees that have completed the simulation.
Value
An object containing multiple stats and tables showing the quality
of the completed simulation.
Examples
1
2
3
simulation = initSimulation(readRDS(system.file("example/passage-adaptive-wpm.rds", package = "CATSimulator")))
simulationOut = runSimulation(simulation, generateSimuleesByNormal(5))
resultISR = getResult.ISR(simulation, simulationOut)
yuehmeir2/CATSimulator documentation built on June 13, 2021, 7:02 p.m.
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Description Usage Arguments Value Examples
Description
Calculate stats analyzing the quality of the Item Selection aspect of a completed simulation.
Usage
1 | getResult.ISR(simulation, simulationOut)
|
Arguments
simulation |
An object defining the test that was run. |
simulationOut |
A tibble of data from simulees that have completed the simulation. |
Value
An object containing multiple stats and tables showing the quality of the completed simulation.
Examples
1 2 3 | simulation = initSimulation(readRDS(system.file("example/passage-adaptive-wpm.rds", package = "CATSimulator")))
simulationOut = runSimulation(simulation, generateSimuleesByNormal(5))
resultISR = getResult.ISR(simulation, simulationOut)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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