rng2_index: Compute RNG2 index

In TImA97/randfindR: Analysis of Randomness in Human Generated Sequences

Compute RNG2 index

Description

Compute RNG2 index

Usage

rng2_index(x, options, circ = TRUE)

Arguments

x	vector of distinct options of numbers or characters
options	number of available options in sequence
circ	indicate whether to include wrap around from end to the beginning of the sequence when computing response pairs

Details

This function takes a vector x and computes an index that reflects whether the distribution of response pairs in the sequence is uneven given the number of possible options. In this modified version of the RNG index response pairs are constructed over the distance of two values, e.g., in the sequence c(1,2,3) the first response pair is (1,3). The scores of this index range between 0 and 1. A score of 1 indicates complete redundancy of response pairs (e.g., '1-2' in '1-1-2'), whereas a score of 0 indicates an even distribution of response pairs.

Value

RNG2 index of x

References

Towse, J.N., Neil, D. Analyzing human random generation behavior: A review of methods used and a computer program for describing performance. Behavior Research Methods, Instruments, & Computers 30, 583–591 (1998). \Sexpr[results=rd]{tools:::Rd_expr_doi("doi:10.3758/BF03209475")}

Examples

rng2_index(ginsburg1994, 10)
rng2_index(ginsburg1994, 10, circ = FALSE)
rng2_index(evans1978[, 1], 10)
rng2_index(evans1978[, 2], 10)

TImA97/randfindR documentation built on July 1, 2024, 7:56 p.m.