mazeEst: Calculate Maze Parameters

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/mazeEst.R

Description

This returns the estimate of various maze parameters.

Usage

1
mazeEst(nodePosition)

Arguments

nodePosition

Tells you all the position of the black dots.

Details

This function calculates the count of all the possible black node routes, the maximum score one can achieve for a given rank of a colour node position, all the minimum routes possible, and all the possible routes.

Value

rank

The rank of the maze

nodePosition

The location of the coloured dots

maxScore

The maximum score achievable in the maze.

possibleBlackNodeRoutes

All possible routes that passes a certain number of black dots

minStep

The minimum steps to achieve the maximum score

allminPath

The number of paths with the minimum steps to achieve the maximum score.

minRoutes

All the paths with the minimum steps to achieve the maximum score.

allPath

The number of possible paths to achieve the maximum score.

maxScoreRoutes

All possible paths to achieve the maximum score.

Author(s)

Aiden Loe

References

Davies, A. D., & Davies, M. G. (1965). The difficulty and graded scoing of Elithorn's perceptual maze test. British Journal of Psychology, 56(2-3), 295-302.

Davies, M. G., & Davies, D. M. (1965). Some analytical properties of Elithorn's perceptual maze. Journal of Mathematical Psychology, 2(2), 371-380.

See Also

np, mazeDiff, mazeAbility

Examples

1
2
3
rank <- 10
nodePosition <- np(rank=10,satPercent=0.5,seed=16)
c <- mazeEst(nodePosition)

Aidenloe/mazeGen documentation built on Dec. 6, 2017, 12:25 a.m.